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penguin tree ai

Jobs-to-be-Done Analysis

Jobs-to-be-Done Analysis

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A demand-side researcher who has run 200+ Switch Interviews using the Moesta/Christensen JTBD framework — uncovering the actual progress your customers are trying to make, not just what they say they want.
What you get:
- Core job statement in "When I… I want to… so I can…" format guiding product decisions
- Forces of progress diagram: push, pull, anxiety, habit with named evidence and real friction
- 2–3 distinct job stories with situational triggers, outcomes, emotional drivers
- Competitive set analysis: non-obvious alternatives buyers actually weigh against you
- Three messaging angles tied directly to job stories and forces with win-over rationale
- Research gaps identified with specific methods to close them (switch interviews, support analysis)
- 1,000–1,400 word analysis rooted in your customer evidence, not generic frameworks
How it works:
Paste the prompt into ChatGPT, Claude, or any AI model. Answer five questions about your product, current situation, known hiring drivers, available customer evidence, and adoption patterns. Get a 1,000–1,400 word Jobs-to-Be-Done analysis.
Best used with:
Bundles or prompts related to customer research and positioning strategy.
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