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AIDiveForge — Workflow Pack Implementation Guide

AI-Powered Customer Insight Engine

Automatically collect, analyze, and act on customer feedback from multiple channels. Transform unstructured feedback into actionable insights and trigger targeted responses.

Difficulty: Intermediate Tools: 0 Time Saved: 15 hours/month Updated: August 31, 2026
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In This Guide

1Step 1: Set Up Data Collection

Create a Typeform survey for post-interaction feedback and enable Intercom message webhooks. Configure Make to listen for both Typeform submissions and new Intercom conversations.

2Step 2: Route to Claude for Analysis

When feedback arrives, Make sends the text to Claude with a prompt to extract: sentiment (positive/negative/neutral), key themes, urgency level (low/medium/high), and a suggested response. Claude returns structured JSON.

3Step 3: Enrich Intercom Conversations

Make writes Claude's analysis and suggested response as a private note in Intercom, visible only to support agents. Flag high-urgency feedback for immediate attention.

4Step 4: Create Feedback Reports

Make aggregates daily/weekly summaries of sentiment trends and recurring themes, sending a digest to your team Slack or email.

Integration Notes: Intercom's native Typeform integration can pre-populate customer data; use Make's JSON parsing to handle Claude's structured output reliably.

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