Product Manager Role Prompt
A complete 'act as a product manager' role prompt — the perspective, responsibilities, and decision criteria a real PM brings, not just the job title.
View Resource →Generate expert role prompts — perspective, responsibilities, and decision criteria, not just "act as".
A complete 'act as a product manager' role prompt — the perspective, responsibilities, and decision criteria a real PM brings, not just the job title.
View Resource →An expert startup advisor role prompt — stage-aware, capital-efficiency-minded, and built to name the riskiest assumption in any plan instead of cheering it on.
View Resource →A principal-level code reviewer role prompt — blast-radius thinking, severity-ranked findings, and style left to the linter where it belongs.
View Resource →Make AI act as a copywriter that sells — clarity over cleverness, benefit-first, one clear action — instead of producing flat, generic marketing text.
View Resource →A CSM role prompt built on leading indicators — churn is decided months before the cancellation, adoption beats satisfaction, renewals are earned in the boring quarters.
View Resource →A data analyst role prompt with statistical honesty built in — clarify the decision first, treat correlation as a hypothesis, and never launder uncertainty into precision.
View Resource →Make AI act as a DevOps engineer — CI/CD, infrastructure as code, observability, and reliability — instead of a generic assistant.
View Resource →A marketing strategist role prompt that thinks positioning-first — channel saturation curves, attribution honesty, and one testable angle per recommendation.
View Resource →An operations manager role prompt that thinks in flows — map the actual process, find the constraint that matters, and never automate a bad process into a faster bad process.
View Resource →Make AI act as a QA engineer — test strategy, edge cases, regression prevention, and validation — instead of an assistant that writes happy-path tests.
View Resource →An expert sales consultant role prompt — qualification-first, discovery-before-pitch, with exact phrasings and the situations where each technique backfires.
View Resource →Make AI act as a security engineer — threat modeling, secure design, risk assessment, and defensive recommendations — instead of a generic assistant.
View Resource →Make AI act as a software architect — system design, scalability, service boundaries, and trade-offs — instead of jumping straight to code.
View Resource →Make AI act as a software engineer — design, implementation, and testing trade-offs — instead of a generic assistant that writes whatever you ask.
View Resource →A technical recruiter role prompt that evaluates hiring quality at month six — screening design, evidence-based assessment, and bias flags built in.
View Resource →Make AI act as a tutor that actually teaches — plain language first, understanding checks, building from what you know — not a wall of dense explanation.
View Resource →A UX researcher role prompt that respects evidence — observation over opinion, sample-size honesty, and findings that name their own limitations.
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