PRODUCT DISCOVERY
WORKSHOP
Build a repeatable discovery system that connects your team to customer needs and drives measurable outcomes
PROBLEM
When success is measured by the number of features shipped, customer needs become an afterthought. Teams optimize for delivery velocity while skipping the discovery work that tells them whether they're building the right thing. The result is a feature factory that produces output without validating demand, and products full of capabilities customers rarely use.
80 percent of features in the average software product are rarely or never used [source]
Your backlog is full of stakeholder requests and competitor feature parity, not validated customer problems
Customer feedback arrives through support tickets, not proactive research
SOLUTION
Teams that drive delivery from insights uncovered in product and customer discovery gain a compounding advantage. By continuously learning what customers need, they reduce waste, build the right things, and accelerate time to value. Discovery is not a phase that delays delivery. It is a regular practice that makes delivery count.
Uncover customer needs, maps opportunities, and tests assumptions
Conduct small, cheap experiments that reduce risk before you commit to building
Make discovery continuous, rather than a phase you skip when time is short
OUR WORKSHOP
This workshop helps product teams build a robust and repeatable discovery system that drives measurable outcomes. Rather than teaching frameworks in the abstract, we work directly with your real product ideas, applying proven discovery techniques to uncover customer needs, map opportunities, and test assumptions before committing to delivery.
Throughout the workshop, participants practice with tools including Collaborative Framing, Opportunity Solution Trees, Story Maps, and Assumption Mapping. You will leave with a shared understanding of your team's mission, a playbook outlining sensible defaults for ongoing discovery, and a clear action plan for integrating continuous discovery into your development practices.
Learning Objectives
Shift focus from outputs and activity toward measurable outcomes and impacts
Learn when to run small, cheap experiments and when to deliver Minimum Viable Products
Apply Collaborative Framing to describe your team's mission in terms of business impacts and customer behavioral outcomes
Uncover risks and unknowns with assumption mapping and extract testable hypotheses
Plan MVPs using user-centered techniques including Pragmatic Personas and Story Maps
Design a dual-track workflow where discovery, design, and delivery happen simultaneously
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The workshop is 10-12 hours, including prep/customization, the workshop sessions themselves, and follow-up.
The workshop can be delivered:
Remotely: 4 2-hour sessions over 2-3 weeks
In-person: 1 day
Each cohort accommodates up to 20 people
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This workshop is designed for the whole product team. Key roles including product managers, product owners, user experience designers, engineering managers, technical leads, and engineers will benefit from attending together. Cross-functional participation leads to stronger alignment and faster adoption of discovery practices.
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Participants leave with a complete set of working artifacts ready for immediate use:
A collaborative workspace containing all workshop curriculum, examples, exercises, and templates for continued reference and team onboarding.
A playbook outlining sensible defaults for an ongoing product discovery practice tailored to your team's context.
Hands-on experience with discovery techniques applied to your actual product ideas, not hypothetical scenarios.
A shared understanding of your team's mission, expressed in terms of business impacts and customer outcomes.
An action plan for advancing your product discovery system and integrating it into your regular development rhythm.
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This workshop meets teams where they are. If you already conduct user research or experiments, you will refine your approach, fill gaps, and build a more systematic practice.
We tailor the content based on your team's current context and challenges, so experienced teams gain just as much value as those new to formal discovery methods.