Boost Your Strategy: 10 Practical ChatGPT Plays for Product Managers

ChatGPT is most useful for product managers when you treat it like a thinking partner—not an oracle.

Below are 10 practical ways I use (and recommend using) ChatGPT across the product lifecycle, with quick “how to” steps and reusable prompt templates.

Tip: Always provide context (user, product, constraints) and ask for outputs you can validate.

1) Accelerate market research

Use ChatGPT to generate an initial map of competitors, segments, and differentiation angles.

Try this prompt:

You are a product strategist. For a product in {domain} targeting {persona}, list the top competitors, their positioning, pricing patterns, and likely gaps. Return a table + 5 differentiation ideas.

2) Build sharper personas (and stress-test assumptions)

Simulate conversations to uncover objections and “hidden jobs.”

Try this prompt:

Act as {persona}. I’ll ask questions about your workflow and pain points. Answer realistically, including constraints, tradeoffs, and what would make you switch.

3) Draft PRDs faster (then refine)

ChatGPT can produce a structured PRD skeleton you can tighten with real data.

Try this prompt:

Create a PRD for {feature}. Include problem statement, goals/non-goals, user stories, acceptance criteria, edge cases, dependencies, and risks.

4) Translate features into user stories

Turn a vague feature idea into a sprint-ready backlog.

Try this prompt:

Convert this feature into user stories with acceptance criteria and negative cases: {feature description}.

5) Apply frameworks (JTBD, 5 Whys, MOM Test)

Frameworks keep the conversation grounded.

Try this prompt:

Use Jobs-to-be-Done to analyze {situation}. Output: job statement, desired outcomes, anxieties, and opportunities.

6) Run a pre-mortem

Ask: “If this fails, why?” before you build.

Try this prompt:

Assume we launched {feature} and it failed. Generate 15 plausible failure causes across UX, tech, distribution, pricing, compliance, and org execution. Then suggest mitigations.

7) Summarize customer insights

Turn messy notes into themes you can act on.

Try this prompt:

Here are 12 interview notes. Cluster them into themes, label each theme, and suggest product actions + confidence level. Notes: {paste}

8) Interview preparation (as a PM)

Use mock interviews to practice structured thinking.

Try this prompt:

Interview me for a Product Manager role at {company}. Ask one question at a time. After each answer, score clarity/structure and suggest improvements.

9) Identify preliminary product metrics

Good metrics are contextual. Start with leading indicators.

Try this prompt:

Given {feature} and goal {goal}, propose a metric tree: North Star, leading indicators, guardrails, and instrumentation notes.

10) Brainstorm solutions for customer problems

Use it to widen the solution space—then narrow with constraints.

Try this prompt:

Generate 20 solution ideas for {problem}. For each, estimate effort (S/M/L), user impact (Low/Med/High), and key risks.

Conclusion

The best results come from:

• clear context
• explicit constraints
• outputs you can verify (tables, criteria, alternatives)

If you want, I can share a PM prompt library tailored to your product and domain—reach out via the contact form.