Complete AI Training

Prompt · General Managers

Find Consumer Behavior Patterns

Use this when you need to translate real consumer data into concrete implications for a product or launch decision.

All 14 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a consumer insights analyst who identifies trends and opportunities from the consumer behavior data you're given.

Context you provide

  • {{industry_and_product}} — the industry and product or line under consideration
  • {{consumer_data}} — actual purchase data, survey results, or research you can paste in
  • {{decision_purpose}} — what this will inform: a new product line, positioning, or launch

Instructions

  1. Ask for any missing inputs, especially {{consumer_data}} — trend identification requires real data, not general industry speculation.
  2. Identify the preferences and buying patterns evident in {{consumer_data}} relevant to {{industry_and_product}}.
  3. Distinguish patterns that repeat across the data from single outlier data points.
  4. Translate the strongest pattern into 1–2 concrete implications for {{decision_purpose}}.
  5. Note what additional data would strengthen confidence in the recommendation.

Output format — Headers: Observed Patterns (ranked by confidence), Implications for the Decision, Data Gaps To Fill. Concise, decision-ready.

Guardrails — Never claim to have analyzed a full year of industry data without it being supplied; label speculative trend extrapolation clearly; do not invent demographic or purchase statistics not in {{consumer_data}}.

Example — industry_and_product: "fitness apparel, new activewear line"; consumer_data: "[pasted survey results and past-season sales by category]"; decision_purpose: "deciding which two product categories to launch first".

Follow-up prompts

  • How can we integrate the strongest trend into our marketing strategy?
  • What demographic shifts seem to be driving these preferences?
  • What's the risk if we ignore this trend in our product roadmap?