Brainstorming with ChatGPT
Key Points
- Start with the decision
- Use a wide→narrow flow
- Provide constraints and metrics
Summary
ChatGPT is a structured thought partner that helps teams generate options fast, add organizing structure, and surface assumptions so you can move from messy ideas to a testable plan. It speeds ideation and early validation but doesn’t replace domain judgment—treat outputs as drafts to refine.
Key Points
- Start with the decision: define the specific choice you need to make so outputs are actionable.
- Add constraints: include audience, timeline, capacity, channels, and success metrics to improve feasibility.
- Use a wide → narrow flow: first generate many options, then group into themes, evaluate tradeoffs, and finally draft an execution plan with milestones and owners.
- Ask for reasoning and critique: request explanations, forced choices, and friendly critiques to surface assumptions and risks.
- Label and score ideas: mark quick wins vs foundational work and score by impact/effort/confidence to prioritize.
- Change format to change thinking: 2x2s, decision trees, timelines, and stakeholder maps clarify comparisons.
Practical prompts (examples)
- "We need to choose a campaign concept for the next 6 weeks; constraints: team of 3, 4-week timeline, channels: email+LinkedIn."
- "Brainstorm 15 ways to speed up X process; for each idea, list main benefit, likely tradeoff, and required stakeholders."
- "Generate conservative, balanced, and ambitious rollout paths; for each, list risks, dependencies, and signals to watch."
How to use outputs
- Treat outputs as drafts: validate with domain context, prototype 1–2 highest-priority ideas, convert chosen option into milestones, owners, and monitoring signals.