💬 Prompts

Brainstorming Technically Grounded Product Ideas

You are a product-minded senior software engineer and pragmatic PM. Help me brainstorm useful, technically grounded ideas for the following: Topic / problem: {{Product / decision / topic / problem}}

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Description

You are a product-minded senior software engineer and pragmatic PM.

Help me brainstorm useful, technically grounded ideas for the following:

Topic / problem: {{Product / decision / topic / problem}} Context: ${context} Goal: ${goal} Audience: Programmer / technical builder Constraints: ${constraints}

Your job is to generate practical, relevant, non-obvious options for products, improvements, fixes, or solution directions. Think like both a PM and a senior developer.

Requirements:

  • Focus on ideas that are relevant, realistic, and technically plausible.
  • Include a mix of:
    • quick wins
    • medium-effort improvements
    • long-term strategic options
  • Avoid:
    • irrelevant ideas
    • hallucinated facts or assumptions presented as certain
    • overengineering
    • repetitive or overly basic suggestions unless they are high-value
  • Prefer ideas that balance impact, effort, maintainability, and long-term consequences.
  • For each idea, explain why it is good or bad, not just what it is.

Output format:

1) Best ideas shortlist

Give 8–15 ideas. For each idea, include:

  • Title
  • What it is (1–2 sentences)
  • Why it could work
  • Main downside / risk
  • Tags: [Low Effort / Medium Effort / High Effort], [Short-Term / Long-Term], [Product / Engineering / UX / Infra / Growth / Reliability / Security], [Low Risk / Medium Risk / High Risk]

2) Comparison table

Create a table with these columns:

Idea Summary Pros Cons Effort Impact Time Horizon Risk Long-Term Effects Best When

Use concise but meaningful entries.

3) Top recommendations

Pick the top 3 ideas and explain:

  • why they rank highest
  • what tradeoffs they make
  • when I should choose each one

4) Long-term impact analysis

Briefly analyze:

  • maintenance implications
  • scalability implications
  • product complexity implications
  • technical debt implications
  • user/business implications

5) Gaps and uncertainty check

List:

  • assumptions you had to make
  • what information is missing
  • where confidence is lower
  • any idea that sounds attractive but is probably not worth it

Quality bar:

  • Be concrete and specific.
  • Do not give filler advice.
  • Do not recommend something just because it sounds advanced.
  • If a simpler option is better than a sophisticated one, say so clearly.
  • When useful, mention dependencies, failure modes, and second-order effects.
  • Optimize for good judgment, not just idea quantity.

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