AI Opportunity Workshop

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1. Understand

On the first we stay in the problem space, challenging our understanding of the problem.This is some text inside of a div block.

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2. Ideate

On the second day we gather inspiration, ideate and sketch solutions together.

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3. Prototype

On the third day we turn the most voted sketches into a prototype and prepare to meet the users.

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4. Test

On the fourth and final day we test the prototype with users and round off the sprint together.

How it works

Built on a framework from 33A, the AI Opportunity Workshop helps product teams identify and prioritise key AI opportunities in their user journeys in just a few hours.

An AI Opportunity Workshop consists of preparation work done by the team, as well as a half day workshop.
The goal of the preparation work is for the team to settle on a user journey to focus on and to map that user journey, especially focusing on user painpoints and already identified opportunities for improvement.
During the workshop, the team ideates on opportunities for each step of the user journey, and then votes on the two steps they believe they can have the most impact on with AI, especially considering where they have the most disruptive and bold ideas, where they are resolving crucial painpoints and/or adding unique value for the user. After that, the team works in groups to align and elaborate on their AI opportunities, the impact they have on the user journey, the data sources they need to succeed and, finally, to visualise the opportunity with an AI prototype which they present to their colleagues. A super engaging wrap up!
The outcome of the workshop is two solid AI opportunities to prioritise, both visualised with AI prototypes to get buy-in from team members and stakeholders. This can be followed up with an AI Design Sprint for efficient progress.

Understand

Define

Half day workshop

Product team, for instance Product Manager/Owner, UX Designer, Developer, Business Analyst, Quality Assurer, Data Scientist

Before

1. Settle on a user journey. Before you dive in, consider your product strategy and strategic bets for the next year(s) ahead. This should help guide which journey makes the most sense to start with.

2. Map the user journey. If you haven’t already, map the steps in your user journey, first focusing on the highlevel steps, and then describing them in more detail, focusing on what the user needs to accomplish in each step. Use your user feedback and usage data when adding their thoughts and painpoints. Finally, note down any already identified opportunities for improvements.

During

3. Go through the user journey. Step by step, make sure that everyone in the team understands what the user does in the user journey, and what their painpoints are.

4. Ideate on AI opportunities for each step. Going through the AI categories 3 at a time, the team ideates individually on AI opportunities for each step. All team members then present their most disruptive and bold ideas, as well as ideas that resolve crucial painpoints and/or add unique value for the user.

5. Vote on the two steps with the highest impact. Having gone through the best ideas, the team votes on the steps they believe they can have the biggest impact on with AI.

6. Vote on the most impactful AI opportunities for the two steps. Having settled on steps, the team goes through the AI opportunities again, and votes on the ones they feel are strongest.

7. Elaborate on AI opportunities. Once the team has settled on the strongest ideas, the work in groups to consolidate the ideas into one AI solution, and elaborates on how this impacts the user journey.

8. Define data sources. AI heavily relies on data. After the team has elaborated on their idea, they continue to work in groups to define which data sources they need in order to succeed.

9. Present the opportunities. The team spends some time to refine their idea, visualising it with an AI prototype, and then presents it to the other part of the team. An optional aspect of this is to have another vote to settle on which one of these ideas to start with, if it’s not possible to act on both right away.

After

10. Get buy-in from stakeholders. The team is now all set to be able to communicate their opportunities to the rest of the team and crucial stakeholders.

11. Run a Design Sprint or continue the project in a different way. The important aspect here is to continue the work while it’s fresh in everyone's mind. Don’t wait too long!

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Before

1. Settle on a user journey. Before you dive in, consider your product strategy and strategic bets for the next year(s) ahead. This should help guide which journey makes the most sense to start with.

2. Map the user journey. If you haven’t already, map the steps in your user journey, first focusing on the highlevel steps, and then describing them in more detail, focusing on what the user needs to accomplish in each step. Use your user feedback and usage data when adding their thoughts and painpoints. Finally, note down any already identified opportunities for improvements.

During

3. Go through the user journey. Step by step, make sure that everyone in the team understands what the user does in the user journey, and what their painpoints are.

4. Ideate on AI opportunities for each step. Going through the AI categories 3 at a time, the team ideates individually on AI opportunities for each step. All team members then present their most disruptive and bold ideas, as well as ideas that resolve crucial painpoints and/or add unique value for the user.

5. Vote on the two steps with the highest impact. Having gone through the best ideas, the team votes on the steps they believe they can have the biggest impact on with AI.

6. Vote on the most impactful AI opportunities for the two steps. Having settled on steps, the team goes through the AI opportunities again, and votes on the ones they feel are strongest.

7. Elaborate on AI opportunities. Once the team has settled on the strongest ideas, the work in groups to consolidate the ideas into one AI solution, and elaborates on how this impacts the user journey.

8. Define data sources. AI heavily relies on data. After the team has elaborated on their idea, they continue to work in groups to define which data sources they need in order to succeed.

9. Present the opportunities. The team spends some time to refine their idea, visualising it with an AI prototype, and then presents it to the other part of the team. An optional aspect of this is to have another vote to settle on which one of these ideas to start with, if it’s not possible to act on both right away.

After

10. Get buy-in from stakeholders. The team is now all set to be able to communicate their opportunities to the rest of the team and crucial stakeholders.

11. Run a Design Sprint or continue the project in a different way. The important aspect here is to continue the work while it’s fresh in everyone's mind. Don’t wait too long!

‍

Templates

Ultimately, the choice of design tool depends on the specific needs of the designer and the project at hand. Each tool has its strengths and weaknesses, and designers must consider factors such as cost, ease of use, and collaboration features when selecting the best tool for their needs.

Design Sprint 2.0 board

Follow this day-by-day exercise schedule for a meaningful and efficient Design Sprint.

Design Sprint Plan

Usability test script

Score card

Design Sprint 2.0 board

Usability testing tips and tricks

Video intro

Tool recommendations

Below you will find some tool recommendations, but please note that you are free to choose whatever tool you prefer. For some tools we have group wide licenses, in which case access can be requested via licenses@visma.com. Remember that you always need cost approval from your immediate manager.