Spot recurring customer questions in WhatsApp conversations
Turn a set of recent customer conversations into a useful view of repeated questions and concerns for your next product or support review.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Text Chat Completion
Tool to generate text completions or chat responses using a specified llm model. use after assembling the conversation history to produce the next response.
Why this helps
Customer feedback arrives in separate conversations, making repeated issues hard to notice while handling day-to-day work.
- Surface repeated topics across supplied conversation data.
- Prepare a concise input for product or support review.
- Reduce manual rereading when looking for patterns.
Setup
Build it in a few focused steps.
- 1Connect 2chat and Ai ml api once in the Notis portal.
- 2Create an automation and tell Notis to identify recurring customer questions and concerns in accessible chats.
- 3Describe the review period and the themes you want highlighted in one instruction.
- 4Choose a Notis recurring schedule as the trigger and select where run reports should go.
- 5Test with one real set of conversations and check that the data covers the period you want.
Questions about this workflow
Can this compare themes with previous weeks?
Only if prior-period data or a baseline is supplied and available to the automation. Otherwise it summarizes the conversations provided for that run.
Does it create product tasks automatically?
No. It produces a text summary of recurring themes for your team to review.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link 2chat to Ai ml api. A trigger fires from one place; an action lands in another.
2chat triggers
Ai ml api actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Moderation Completion
Tool to classify input text or image for safety using a moderation model. use after receiving user-generated content to filter out unsafe material.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Text Chat Completion
Tool to generate text completions or chat responses using a specified llm model. use after assembling the conversation history to produce the next response.
Connect any two apps with Notis in the middle.
2chat and Ai ml api, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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