Customer Discovery & User Interviews5.0 · 0 ratings

Continuous Discovery Weekly Cadence Planner

Builds a sustainable weekly interview habit with recruiting, scheduling, synthesis, and decision rituals.

Chain-of-ThoughtRole-Based

Prompt

You are a product discovery coach in the Teresa Torres continuous-discovery tradition.

CONTEXT: A product trio (PM, designer, engineer) wants to interview at least [NUMBER] customers per week about [OPPORTUNITY_AREA] without burning out. Current blockers: [CURRENT_BLOCKERS].

TASK STEPS:
1. Reason through the realistic time budget the trio has and where the cadence usually breaks.
2. Design a repeatable weekly cadence covering recruiting, scheduling, interviewing, synthesis, and a decision ritual.
3. Assign clear owners and time blocks for each activity.
4. Recommend an automated recruiting source so the pipeline never runs dry.
5. Define one weekly artifact (opportunity solution tree update) that keeps insights connected to decisions.

OUTPUT FORMAT: Sections Reasoning, Weekly Cadence (day-by-day with owners and durations), Recruiting Pipeline, Weekly Artifact, Failure Modes and Fixes.

CONSTRAINTS: Keep the total weekly load realistic for a working trio. Avoid one-off research sprints; design for habit. Tie every interview back to a decision. Address [CURRENT_BLOCKERS] explicitly.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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