TIMA
I worked on the TIMA project for approximately 5 months, applying the full Design Thinking process. Through user interviews, I developed personas, created user journeys, and designed various user flows. Additionally, I produced wireframes, built prototypes, and conducted testing using a range of methods. The final outcome is a set of high-fidelity wireframes, ready for handoff.
Role:
Sole Product Designer
Date:
2024
Tools:
Figma, Google Meet, Lyssna, Optimalworkshop
Project:
TIMA
In a world where AI is evolving rapidly, organisations often struggle to find the right AI expertise. The platform streamlines the booking process for training, freelance projects and speaking engagements through detailed AI profiles and smart filters that highlight skills, experience and availability.
Problem
Company representatives struggle to find, compare and book highly skilled AI experts for different business needs.
Solution
An app that bundles AI experts from various fields, streamlining booking with detailed profiles and smart filters for quick decisions.
Main features
Expert Discovery Options
The platform enables users to explore experts through categories, inspiring profiles, and top search results, with an option to filter by specific criteria and expertise.
Book a Call
On each expert's detail page, users can view expertise information, book the expert directly, or schedule an introductory call beforehand.
Book a Call
On each expert's detail page, users can view expertise information, book the expert directly, or schedule an introductory call beforehand.
Create & Manage Expert Lists
Users can create and manage expert lists through profile settings, with the option to quickly add experts using the “heart” icon.
Process
Problem statement
To formulate a problem statement I used the double diamond strategy: The Tima Platform users need a way to quickly and reliably find and book an AI expert for AI training in a specific business field because they don't have time for lengthy research and vetting, and need a reliable platform that lets them quickly compare and finalize the booking.
We know this is the case when the client has booked an AI marketing expert for their specific field and their employees have been successfully trained.
Understanding the user
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly finding and booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expert (e.g., experience, ratings, specialization).Industry Contexts:
Explore how different industries currently use and face challenges with AI.Personas
After I spoke to target persons and learnt from them how they felt about my problem. I was able to put their background, goals, behaviour, attitude and pain points into clear user personas.
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User flows
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
User research
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User Needs and Key Features:
Identify essential features for quickly booking AI experts.Selection Criteria:
Discover factors users prioritize when choosing an AI expertIndustry Contexts:
How different industries currently use and face challenges with AI.Personas
To test my problem and my hypothesis, I interviewed 6 people with some specific questions. Through the interviews I wanted to better understand the following points:
User journeys
User personas help to quickly form a picture of users without having to assess every detail or be guided by your own prejudices. But how do users behave, think and feel? To approach this question, I created user stories and showed which phases users can go through in their search for an AI expert:
User journeys
I was then able to translate the user journeys into different user flows. For example, one of three user stories: “As a business owner, I want to compare different AI experts based on ratings and price, so that I can make an informed decision and ensure value for money.“
Sitemap
Through the development of user personas, user journeys and then finally user flows, the question came up of how to organise this information logically. With the help of closed card sorting, I was able to organise possible categories and then create a first sitemap.
Prototyping & Design
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Styleguide
Once I had a clear information architecture, I was able to start designing. After the first paper sketches, mid and high fidelity wireframes, I ended up with a holistic design system with fonts, colours, grids, icons, spacing and 3D elements.
Slide to the right to see the process.
Wireframes & prototypes
In the sketching phase, I focused on an intuitive user interface with essential features for a functional MVP. I aimed for simplicity, enabling users to quickly grasp the app's functions, drawing inspiration from successful expert apps to create a familiar search experience.
Mid fidelity digital wireframes
I translated the quick sketches into digital wirframes and corrected the first errors in my thinking.
High fidelity digital wireframes and clickable prototype (v1)
From midfidelity to highfidelity, I used grids and defined step-by-step design rules that I wanted to apply to the TIMA app.
Usability testing & refining the design
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
Usability testing
Now it was time to test my prototypes with a moderated remote usability test. I sketched out 3 different scenarios and asked 6 people to fulfill 3 tasks. To find out whether the tasks could be solved and whether they were edible. In total, I created a test plan, test scripts and a test report.
I organised the results of the interviews using an affinity map and analysed the data. To evaluate the statements I used a rainbow spreadsheet and was able to filter out the most important comments and changes.
In addition to minor comments, there were also major changes that I had to make as quickly as possible.
Looking forward
After further usability testing and feedback from my colleagues, I created another iteration of my version. I added more features and added existing elements to a pattern library.
I already have new hypotheses and potential solutions:
Sharing Feature: Adding a “sharing” option would allow users to share expert lists with stakeholders within a company.
Detailed Expert Pages: The expert detail page might lack essential information. It’s important to determine the necessary minimum details and what additional info experts can provide.
In addition to minor comments, there were also major changes that I had to make as quickly as possible.