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๐Ÿ”5 Templates

Discovery Sprint Kit

Run a focused one-week discovery sprint. Problem framing, user interviews, opportunity mapping, solution sketching, and validation planning.

A discovery sprint is a time-boxed week of intensive customer research and problem validation. This kit provides the five templates you need to run a complete discovery sprint from Monday to Friday. By the end of the week, you will have validated (or invalidated) your assumptions.

Recommended Workflow

1

Monday: Frame the problem

Define the problem space, target user, and what you need to learn. Align the team on scope.

Open: Product Problem Statement Template โ†’
2

Tue-Wed: Interview customers

Conduct 5-8 customer interviews. Use the guide to stay consistent across interviews.

Open: User Interview Script Template for User Research โ†’
3

Thursday AM: Map assumptions

List your assumptions. Plot them by risk (impact if wrong) and confidence (how sure you are).

Open: Assumption Mapping Workshop Template โ†’
4

Thursday PM: Map opportunities

Organize interview findings into an opportunity tree. Identify the highest-value opportunities.

Open: Opportunity Solution Tree Template โ†’
5

Friday: Plan validation

For each opportunity, define what experiment you will run to validate demand before building.

Open: Experiment & A/B Test Hypothesis Template โ†’

Frequently Asked Questions

How many people should participate in a discovery sprint?+
Core team: PM, designer, and one engineer. Optional: data analyst, customer success rep. Keep it small. Larger groups slow down interviews and create analysis paralysis.
Can I run a discovery sprint remotely?+
Yes. Use video calls for interviews, Miro or FigJam for collaborative mapping exercises, and a shared document for the assumption map. Remote sprints work well if everyone blocks the full week and stays off other meetings.
What if the discovery sprint invalidates our hypothesis?+
That is a success, not a failure. You saved weeks of building the wrong thing. Use the Validation Plan template to pivot: define a new hypothesis based on what you learned and plan the next experiment.

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