IT & Software

Insight Generation

Extract Actionable Insights from Product Surveys with This ChatGPT Prompt

What This Prompt Does

  • Translates raw survey data into 5–6 clear, prioritized user insights.
  • Highlights recurring patterns, unmet needs, and surprising feedback based on user sentiment and frequency.
  • Organizes insights for easy sharing with product, design, and executive teams.
  • Helps identify which product areas to iterate, expand, or reassess—based on direct user input.
  • Serves as the bridge between feedback collection and product decision-making.

Tips

  • Include both quantitative and qualitative survey data (e.g. Likert ratings and open-ended responses) for richer analysis.
  • Tag and group comments before prompting for clearer synthesis (e.g. by theme: UI, performance, pricing).
  • Ask ChatGPT to identify positive signals, pain points, and opportunities separately if deeper segmentation is needed.
  • Include product maturity context (e.g. beta vs. public release) to help the model generate insights aligned with the development stage.
  • If working with multiple user segments, specify which segment the feedback belongs to.

Prompt

‍Here are the results of a product feedback survey conducted on product X’s latest feature Y. The product X does [list the features] and is designed for [describe the users]. Summarize the survey findings as 5-6 key insights.

How To Use The Prompt

Fill in the placeholders [PRODUCT X], [FEATURE Y], [FEATURES], and [USER TYPE] with specific details about your product and its users.

Example:
 "Here are the results of a product feedback survey conducted on product X’s latest feature Y. The product X is a mobile budgeting app that offers bill tracking, goal setting, and automated savings. It is designed for early-career professionals managing their first independent finances. Summarize the survey findings as 5–6 key insights."

Example Input

#SURVEY CONTEXT:

  • Product: SmartBudget App

  • Feature: “Group Budgeting” – allows multiple users to track and contribute to shared expenses.

  • User Type: Gen Z users aged 18–28 living with roommates or partners.

  • Features: Bill reminders, transaction syncing, financial goal tracking, group expense splits.

  • Survey Data:

    • 78% rated “ease of setup” 3/5 or lower

    • 62 open-text comments on confusion about permissions/sharing

    • Positive comments focused on transparency in split expenses

    • Many users asked for Venmo/PayPal integration

    • Some expressed concern about privacy of individual contributions

    • 23% said they'd use this feature weekly or more

Example Output

Top 5–6 Key Insights:

  1. Setup Friction is a Major Barrier
     Most users found the initial group setup confusing, especially around permissions, roles, and invite flows. Clearer onboarding and visual guidance are needed.
  2. Users Value Expense Transparency
     The top benefit cited was real-time visibility into group spending. This aligns with the product’s value prop of trust and shared accountability.
  3. Integration with Payment Platforms is a Common Ask
     A large portion of users requested direct integrations with Venmo or PayPal to streamline payments after tracking—indicating workflow gaps post-tracking.
  4. Privacy Needs More Control Options
     Users are concerned about how much personal spending data is exposed within a group. Flexible privacy settings could boost trust and adoption.
  5. Feature Engagement Has Growth Potential
     With nearly one-quarter of respondents saying they’d use the feature weekly, there’s strong interest—if usability and trust gaps are addressed.

Terminology and Language Confused Users
 Terms like “Owner,” “Contributor,” and “Transaction Scope” caused misunderstandings. Simplifying language can reduce cognitive load during onboarding.

Additional Information

Use this mega-prompt to turn survey responses into insight-driven decision-making artifacts. Whether you’re a UX researcher preparing a debrief or a PM pitching a roadmap shift, this prompt helps you elevate user feedback into product impact.

  • Ideal for post-launch feedback, beta feature surveys, or market validation efforts.
  • Can be combined with a feedback categorization or sentiment analysis prompt for deeper results.
  • You can also ask ChatGPT to reframe insights by priority (P1–P3), theme (UX, value, trust), or team responsibility (product, design, eng).

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