Customer SupportFREE

Analyze Delighted Feedback With AI and Route It to Slack

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

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

    Add a Slack node. Set Resource to Message and Operation to Send. Choose the channel (e.g. #alerts) and drop the sentiment, theme and summary into the message text using expressions like {{ $json.summary }}. Connect your Slack OAuth or bot-token credential.

Frequently asked questions

Can I track NPS trend over time?

Store each score with a date in Slack; 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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