Analyze Delighted Feedback With AI and Route It to Notion

Each Delighted response is scored for sentiment and tagged by theme by AI, then logged in Notion — turning a pile of raw feedback into a trend you can actually act on.

difficulty Intermediatesetup 40 minresult Every Delighted submission arrives in Notion pre-tagged with sentiment and theme, so patterns surface without manual reading.
  1. 1

    Step 1 — Receive the response

    Add a Webhook fed by Delighted (or its native trigger) so each submission enters the flow.

  2. 2

    Step 2 — Analyse with AI

    Add an OpenAI node returning { sentiment, theme, summary } from the free-text answer.

  3. 3

    Step 3 — Alert on detractors

    Add an If node so strongly negative responses ping your team immediately, not just the log.

  4. 4

    Step 4 — Log to Notion

    Add a Notion node to append a row/page with the score, theme and original text.

Frequently asked questions

Can I track NPS trend over time?

Store each score with a date in Notion; a weekly digest workflow can then compute rolling NPS/CSAT and post the trend.

What themes does it use?

Whatever you list in the Step 2 prompt — pricing, onboarding, bugs, support, etc. Tuning that list to your product makes the tags genuinely useful.

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