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What you can do with Sprig MCP

Try these prompts in any connected AI client once Sprig MCP is set up.
  1. Summarize a study Summarize the key themes from my most recent Sprig study and highlight the top 3 issues users mentioned.
  2. Extract NPS insights Pull all NPS studies from Sprig in the last 30 days. What are the most common reasons users gave for low scores?
  3. Compare studies over time Compare the results from my Q1 and Q2 onboarding surveys in Sprig. What changed?
  4. Segment analysis From my latest Sprig study, show me how responses differ between power users and new users.
  5. Feature feedback digest Pull all Sprig responses that mention [feature name] and summarize what users are asking for.
  6. Draft a research summary doc Using my latest Sprig study results, write a one-page research summary I can share with my team.
  7. Turn feedback into hypotheses Based on the open-text responses in my latest Sprig study, generate 5 product hypotheses I could test next.
  8. Prioritize from feedback From my Sprig study on checkout experience, rank the top pain points by frequency and suggest which to fix first.
  9. Prep for a research readout Using my Sprig study results, create a bullet-point readout I can present in a 10-minute team meeting
  10. Look up by Study ID or Study Title
When both Sprig and another tool are connected to the same AI client, you can run workflows that span both, pulling data from Sprig and acting on it in another system automatically.
  1. Sprig + Linear Summarize the top 5 pain points from my latest Sprig study and create a Linear issue for each one, assigned to the product team.
  2. Sprig + Jira Pull negative responses from my Sprig checkout study and create Jira tickets with the user quotes as description text.
  3. Sprig + Notion Fetch my latest Sprig study results and write a research summary into my Notion research repository page.
  4. Sprig + Figma Pull the top usability issues from my Sprig study on the onboarding flow and add them as comments on the relevant Figma frames.
  5. Sprig + Slack Every time a Sprig study gets more than 50 responses, post a summary of the top themes to the #product-research Slack channel.
  6. Sprig + HubSpot Find all Sprig respondents who gave an NPS score below 6 and update their HubSpot contact record with a ‘detractor’ tag.
  7. Sprig + Salesforce Pull Sprig survey responses from enterprise-tier users and log the key feedback as activity notes on their Salesforce account records.
  8. Sprig + Google Sheets Export all responses from my latest Sprig study into a new Google Sheet, with one row per response and columns for question, answer, and segment.
  9. Sprig + Confluence Pull my last 3 Sprig studies and write a quarterly research digest page in Confluence summarizing key findings across all three.
  10. Sprig + GitHub From my Sprig developer experience study, extract bug reports and usability issues and create GitHub issues with appropriate labels.
Note: MCP to MCP workflows require both Sprig and the destination tool to be connected in the same AI client. Check that both connections are active before running these prompts.