Find customer feature requests
Find the product requests customers raise on calls and send them to Product with the evidence.
Ways to get this done with Avoma
Pick the approach that fits how your team works. You can start with one and add another later.
How this works
Shown for:
- 1Trigger
As new conversations match configured playlist filters
- 2Context
Avoma Conversation Intelligence reads meeting recordings, transcripts, keywords, topics, and Smart Playlist filters
- 3Reason
Match conversations to product feedback topics and collect the evidence
- 4Act
Collect feature requests with quotes and clips for Product
- 5Human judgment
Product decides how to prioritize each request
Native feature
Automatically collect conversations matching configured product feedback topics, keywords, or trackers into Smart Playlists so Product teams can review feature requests and recurring customer needs.
How this works
Shown for:
- 1Trigger
A customer mentions a missing capability or request
- 2Context
An Avoma agent (Avoma agentic platform) watches customer calls, moments and clips, accounts and deal values
- 3Reason
Match conversations to product feedback topics and collect the evidence
- 4Act
Collect feature requests with quotes and clips for Product, each time it's warranted
- 5Human judgment
Product decides how to prioritize each request
Agent
Collect customer feature requests. The agent identifies requests across conversations, gathers supporting quotes and call clips, and prepares organized feedback for review before sharing with Product.
What good looks like
Product requests carry more weight with the customer's words attached.
Capture the problem behind the request
The problem tells Product what to build.
Note the account and deal value
Product can weigh a request when it knows what's at stake.
Close the loop with the customer
Customers keep sharing feedback when they see it go somewhere.
Customer stories
What teams say
I used Ask Avoma to analyze how often our competitor came up in sales conversations, what objections buyers raised, and how those deals performed. The links back to the source calls made it easy to verify everything and review specific clips.
The AI-powered transcription and meeting summaries ensure that customer insights are captured and actionable next steps are clear for everyone.
More from this use case
Browse all Revenue Execution
What’s stopping you from turning every conversation into actionable work?
