AI Opportunity

What is a AI Opportunity Workshop?

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.

The AI Opportunity Workshop combines light prep work with a dynamic half-day session. Teams focus on a key user journey, map pain points, and generate bold AI ideas. They vote on the most impactful opportunities, refine them into prototypes, and present their concepts. The outcome: two strong AI ideas, ready to pitch and pursue.

Sign up for a

AI Opportunity Workshop

Unlocking AI potential in the user journey

Great innovation starts with great understanding. In this workshop, you’ll zoom in on the user journey, spot key moments where AI can help, and collaboratively shape ideas into actionable concepts.

1. Prepare with purpose

Choose a key user journey aligned with your product strategy. Map the main steps and pain points using data and feedback.

2. Explore and ideate

As a team, walk through the journey step by step. Individually brainstorm bold AI ideas for each step, then share and vote on the ones with the most impact.

3. Refine and define

Focus on the top AI opportunities. Develop one strong concept per group, describe how it improves the journey, and identify needed data sources.

4. Pitch and plan

Visualize your idea, present it to the wider team, and vote if needed. After the workshop, aim to get stakeholder buy-in and continue the momentum.

What makes a good North Star?

It expresses value

We can see why it matters to customers

It’s actionable

We can take action to influence it

It’s not a vanity metric

We can be confident that the change is meaningful and valuable

It’s a leading indicator of success

It predicts future results, rather than reflecting past results

It’s understandable

Language that non-technical partners can understand

It represents vision and strategy

Our company’s product and business strategy are reflected in it

It’s measurable

We can instrument our product to track it

Run AI Opportunity workshop

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 pain points. 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 pain points 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 pain points 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!

‍

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 pain points. 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 pain points 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 pain points 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!

‍

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 pain points. 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 pain points 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 pain points 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!

‍

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 pain points. 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 pain points 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 pain points 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!

‍

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 pain points. 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 pain points 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 pain points 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!

‍

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 pain points. 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 pain points 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 pain points 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.

AI Opportunity board

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

No items found.

Tool recommendations

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.

Mural

Mural offers both a shared workspace and training, a practical way to collaborate that anyone can learn and apply.

Google Meet

Real-time meetings using your browser, share your video, desktop, and presentations with teammates and customers.

Success stories

Knowledge is meant to be shared. Explore the cards below to learn more about how companies around Visma have leveraged their teams to work better with turning data into insights.

North Star

Lessons from Dinero: How to operationalise your product strategy with a North Star

North Star

Lessons from ProActive: How to engage teams with an inspiring North Star

North Star

Lessons from ProActive: How to successfully implement and follow up on a North Star

Design Sprint

From Mockup to pNPS UP in Visma Recruit

North Star

Lessons from Ecare: How to help customers thrive with a meaningful North Star

Design Sprint

Lessons from Viskan: How to speed up product development and foster collaboration with Design Sprints

Product Strategy Sprint

Lessons from Flex: How to place your bets with the Product Strategy Sprint

Design Sprint

How to drive innovation and transform a team in 4 days

Design Sprint

How to win a €3.2 million deal without writing a single line of code

Product Vision Sprint

Lessons from Resolve: How to unite teams and create a foundation for the future with Product Vision Sprint

Design Sprint

What is a AI Opportunity Workshop?

Sign up for a

AI Opportunity Workshop

Unlocking AI potential in the user journey

1. Prepare with purpose

2. Explore and ideate

3. Refine and define

4. Pitch and plan

Design Sprint achievements

400 kEUR ARR

Product

Problem to solve

Process

Full story

+20 pNPS

Product

Problem to solve

Process

Full story

+3 customers

Product

Problem to solve

Process

Full story

What makes a good North Star?

Run AI Opportunity workshop

Before

During

After

Before

During

After

Before

During

After

Before

During

After

Before

During

After

Before

During

After

Templates

AI Opportunity board

Tool recommendations

Mural

Google Meet

AI Opportunity Workshop

Are you ready to find your AI Opportunity?

Sign up for a

AI Opportunity Workshop

Unlocking Rapid Innovation: The Power of Design Sprints

Success stories

Lessons from Dinero: How to operationalise your product strategy with a North Star

Lessons from ProActive: How to engage teams with an inspiring North Star

Lessons from ProActive: How to successfully implement and follow up on a North Star

From Mockup to pNPS UP in Visma Recruit

Lessons from Ecare: How to help customers thrive with a meaningful North Star

Lessons from Viskan: How to speed up product development and foster collaboration with Design Sprints

Lessons from Flex: How to place your bets with the Product Strategy Sprint

How to drive innovation and transform a team in 4 days

How to win a €3.2 million deal without writing a single line of code

Lessons from Resolve: How to unite teams and create a foundation for the future with Product Vision Sprint

Lessons from Giant Leap: How to go to market with confidence with Design Sprints

Want to learn more?

Get in touch with our team

product.discovery@visma.com