How to Run a Successful Product Strategy Workshop

A well-run product strategy workshop can be the difference between building a successful, user-centred product - or wasting months of time and budget building the wrong thing. At Hyrdle, we’ve facilitated countless workshops that set the foundation for products across industries - especially in the fast-evolving world of AI-powered products.

In this blog, we’ll walk you through how to plan and execute a product strategy workshop, with real-world examples focused on AI tools and platforms.

What is a Product Strategy Workshop?

A product strategy workshop is a collaborative session that aligns stakeholders on:

What problem you’re solving

Who your users are

What success looks like

What to build first (and what not to)

It’s about setting direction before you write a line of code.

Why It’s Essential for AI Products

AI products often carry additional complexity:

Data dependencies

Uncertainty around model capabilities

Ethical considerations

Longer R&D cycles

A strategy workshop helps reduce that ambiguity and get everyone aligned on realistic outcomes.

Step-by-Step: Running a Successful Workshop

1. Set Clear Objectives

Before the session, clarify what you want to walk away with. Examples:

Prioritised list of AI product use cases

Defined user personas and value propositions

Risk assessment of building vs. integrating models

Example: For a client building an AI recruitment assistant, the goal was to define which tasks the assistant would automate first: CV screening, candidate matching, or interview scheduling.

2. Invite the Right People

Include cross-functional stakeholders:

Product manager or founder

UX designer

Engineer or AI lead

Data team member (if available)

Business decision-makers

Tip: Keep it lean (4–7 people), but diverse in perspective.

3. Start with the Problem

Ask: “What’s the core problem we’re solving - and for whom?”

Use frameworks like:

Jobs to Be Done (JTBD)

Problem Framing Canvas

Lean Value Tree

Example: In an AI-powered customer support project, the team identified that users were frustrated by wait times - not the support quality - leading to the decision to prioritise chatbot development.

4. Map the User Journey

Build empathy by mapping the current and future user experience.

Use tools like:

Empathy maps

Service blueprints

AI capability overlays (what can be automated?)

Example: For a bedtime story app using generative AI, the team mapped the parent’s journey from signup to story generation to bedtime reading - identifying key emotional moments and friction points.

5. Prioritise Opportunities with AI in Mind

Not every task is right for AI. Use criteria like:

Data availability

Repetitiveness of the task

Risk tolerance

Potential value (time saved, UX improved, revenue generated)

Use prioritisation methods like:

RICE (Reach, Impact, Confidence, Effort)

MoSCoW (Must, Should, Could, Won’t)

6. Sketch the First Product (MVP)

Define what your Minimum Viable Product looks like:

Key features and flows

User input/output expectations

What the AI does (vs. what the user controls)

Example: For an AI financial assistant, the MVP focused only on expense classification and basic forecasting - not full financial advisory features.

7. Define Success Metrics

What does success look like?

For users (e.g. reduced time spent, improved accuracy)

For the business (e.g. cost savings, conversions, retention)

Make sure to align on both qualitative and quantitative KPIs.

Tips for Facilitating a Great Workshop

Use collaborative whiteboards like Miro or FigJam

Set timeboxes and keep things moving

Encourage wild ideas - then bring it back to feasibility

End with clear next steps and owners

Final Thoughts

A product strategy workshop is one of the most important steps in building an AI product. It sets the vision, surfaces risks early, and aligns the team before investing in design and development.

At Hyrdle, we run these workshops as part of our discovery process with clients who want to build with clarity, confidence, and creativity.

Want help running your own AI product strategy workshop? Get in touch and let’s plan it together.