You collect satisfaction ratings but they sit as a bare number. The comments that explain the number go unread, so you never learn what to actually fix.
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Build me a CSAT Pulse for Bitrix24. Show an overall customer-satisfaction gauge with avg rating, NPS and response count, a positive/neutral/negative split, a weekly trend, and an AI "what's driving it" panel that pulls the top praise and complaint themes from the comments. Clean, light, one screen. Store survey responses (rating + comment) as demo data. Compute the gauge, splits, NPS and trend in code. Use POST /v1/chat/completions only to cluster the free-text comments into a few named themes with counts. Don't let the model invent the numbers. API key: vibe_api_xxx (scopes: vibe:ai) API Discovery: https://vibecode.bitrix24.com/v1/me
One screen: an overall satisfaction gauge, NPS, the positive/neutral/negative split and a weekly trend — plus the top praise and complaint themes pulled from the comments.
Support tickets are processed manually — initial diagnosis, classification, assignment.
No system for collecting customer feedback. Unclear who's satisfied, who's leaving.
Requests land from every channel and someone has to read each one, decide what it's about and send it on. Triage is slow and the urgent ones wait in line with the rest.