Resource
Startup Advisor Role Prompt
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.
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.
Overview
'Act as a product manager' gives the model a name tag; a role prompt gives it a reasoning framework. A real PM judges features by the problem they solve, treats prioritization as the core job, and weighs every call against impact, effort, and risk. This resource carries the full role prompt with that framework built in — paste it, then ask your roadmap, prioritization, or requirements question, and the answers come back shaped like PM thinking: options, trade-offs, and a metric.
How to use this resource
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Open in the generator
The inputs load pre-set: Senior level, SaaS industry, Strategic style, Discovery + Prioritization focus.
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Generate and adjust
Switch level or focus areas and watch the prompt change — Principal adds systems-level reasoning, different focus areas shift the depth.
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Paste, then ask
Role prompt first, your question second. The decision criteria shape every answer that follows.
Why This Works
- Decision criteria turn the model from agreeable to evaluative — it weighs instead of validates
- Explicit responsibilities stop the role from drifting into generic assistant behavior
- The impact/effort/risk frame is how working PMs actually argue, so answers arrive decision-ready
Best for
- Founders and engineers doing PM work without a PM
- PMs who want a sparring partner that argues in-discipline
- Anyone whose 'act as a PM' prompts produce generic product tips
Not for
- Building an operational AI product workflow with rules and escalation — that's the System Prompt Generator
- Writing the requirements document itself — pair this role with a task prompt
Use cases
- Pressure-testing a roadmap decision against PM reasoning
- Turning a vague feature request into requirements with acceptance criteria
- Getting prioritization advice that names the trade-off instead of agreeing with you
FAQ
What does the product manager role prompt produce?
It shapes the AI's answers like a working PM: each recommendation comes back as the problem, the options considered, the recommendation, and the trade-off accepted. It quantifies impact where it can and says "unknown — here is how to find out" where it can't, judging every call against user impact, effort, and risk instead of just agreeing with your idea.
What context should I give the product manager role prompt?
Paste the role prompt first, then your roadmap, prioritization, or requirements question with the real user problem and the constraints around it. Its focus areas are discovery and prioritization, so the more you say about who the users are, how often the problem bites, and what you have already tried, the sharper the trade-off it names. Thin context gets generic product tips.
Can this prompt decide my roadmap or product strategy?
No — it is a sparring partner that argues in-discipline and names the trade-off, not the owner of your roadmap. Run it in your own AI tool to pressure-test a decision; it weighs impact, effort, and risk and will push back when the request itself is the problem, but you own the roadmap, the strategy, and the final call. It structures the decision; it doesn't make it.
When should I use the product manager role prompt instead of writing the requirements?
Use the role prompt when you want PM-shaped reasoning — a second opinion on a roadmap call, a prioritization argument, or the trade-off behind a feature. It produces the thinking, not the finished artifact: to write the requirements document itself, pair this role with a task prompt that specifies the format. Reach for it for the judgment behind the decision, not a polished deliverable.
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Role Prompt Generator
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Guides for this resource
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How to Make AI Compare Options Before Recommending One
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How to Make AI Create a Decision Log You Can Review Later
Weeks later, all that survives a decision is "we chose export first" — the why, the rejected option, and the assumption are gone. Here's how to have AI write a decision log: the decision, the reasoning, the options turned down, the assumptions, and a trigger to revisit it.
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Tell Reversible From Irreversible Decisions With AI
Before asking AI which option to pick, have it classify the decision's reversal cost — reversible, hard-to-reverse, or irreversible — so you move fast on the easy calls and slow down on the one-way doors. A candidate reading you confirm, not a verdict it issues.