The 6 best tools to mine product feedback from sales calls in 2026
A rep hears "we'd buy today if you had SSO" or "we're looking at switching because of this" multiple times a week, writes a line in the CRM if they remember, and moves to the next call. The recording sits in Gong or wherever else you store it, technically searchable, practically never watched again by anyone building the product.
The tools below pull product signal out of that pile of transcripts. Modem is one of them, with a Gong integration we'll describe accurately rather than generously, since we build it.
“we need SSO before rollout”
“any update on single sign-on?”
“SSO came up twice on this call”
Linear issue, quotes attached
insight report in NotionThe short version
| Tool | What it does with calls | Where the output lives | Best for |
|---|---|---|---|
| Modem | Ingests transcripts, resolves speakers to people and companies | A cross-referenced context graph, written out to Notion reports and Linear or Jira issues | Product and engineering acting on call feedback |
| Gong | Flag a moment, send it as a ticket | Productboard or Zendesk, native | Teams already on Gong wanting a lightweight capture step |
| Chorus by ZoomInfo | Records and analyzes calls, tags keywords and objections | Chorus, enriched with ZoomInfo account data | Revenue teams wanting coaching plus account intel |
| Kraftful (Amplitude) | Ingests call transcripts alongside reviews and tickets | Amplitude's AI Feedback | Product teams already on Amplitude |
| Productboard | Pulls new Gong recordings in automatically | Productboard features, linked to the transcript | Teams already prioritizing in Productboard |
| Enterpret | Ingests call transcripts as one of 50+ sources | Enterpret's adaptive taxonomy | Large-scale CX and feedback analytics |
1. Modem
Modem's Gong integration ingests transcripts from your recorded calls and resolves every speaker to the same person and company Modem already knows from Slack, support, and email. You choose which Gong workspaces it captures and whether internal calls are included.
A prospect's offhand comment about a missing integration gets classified the same way a bug report in Discord does: grouped into a topic, ranked by how many people raised it, and connected to whoever else mentioned it in a different channel. That's the distinction from a call-intelligence tool built for sales coaching. Modem isn't scoring the rep's talk-to-listen ratio. It's treating the transcript as another source in the context graph that Claude Code, Cursor, or any other MCP-connected agent can query directly, pulling the quote instead of the whole recording. That means fewer tokens spent per question and no engineer re-listening to find the moment.
The topics don't stop inside Modem. The agent writes what it finds outward: an insight report written to Notion, a Linear or Jira issue filed carrying the exact quote and who said it, on request or on a recurring schedule. What a customer said on a call ends up in the tools the team already works in, not in one more dashboard to check.
Where it fits: teams that want call feedback merged with what the same accounts say everywhere else, surfaced to product and engineering rather than sales management. Where it doesn't: Modem doesn't do deal coaching, win-rate scoring, or rep performance analytics. If that's what you need from your calls, that's Gong's and Chorus's core product, not Modem's.
2. Gong
Beyond recording and transcribing, Gong lets a user highlight the relevant text in a transcript and send it directly as a feature request to Productboard or a support ticket to Zendesk, with a link back to that moment in the call.
It's a fast, native way to capture a specific moment, and it depends on someone listening live or reviewing the call afterward to flag it. Nothing gets captured automatically; every item is a deliberate action.
Where it fits: teams already recording in Gong who want a lightweight way to send a specific moment somewhere else, without a separate mining tool.
3. Chorus by ZoomInfo
Chorus records, transcribes, and analyzes calls, watching for keywords that signal buying intent and letting managers review trends across a team's calls, all layered on ZoomInfo's account and contact data.
It's built primarily for revenue teams: coaching, deal risk, objection tracking. Product feedback can be pulled from it manually, but extracting a feature-request theme isn't the workflow it's optimized for.
Where it fits: sales orgs that want conversation intelligence and account enrichment in one platform.
4. Kraftful (now part of Amplitude)
Kraftful was an AI feedback platform that ingested call transcripts, along with app reviews, surveys, and support tickets, and turned them into feature requests and complaints. Amplitude acquired it in 2025, and its capabilities now sit inside Amplitude's AI Feedback product.
If you're already on Amplitude for product analytics, this is the most direct path to combining call feedback with usage data in one place. If you're not, adopting it means adopting Amplitude.
Where it fits: teams standardizing on Amplitude who want call transcripts in the same feedback view as usage data.
5. Productboard
Productboard's Gong integration checks for new recordings automatically, roughly every five minutes, and creates a piece of feedback from each one with the transcript organized by speaker and linked to the customer record. Filters on call title, attendee domain, or keywords control what comes in.
The output lives inside Productboard's own prioritization workflow. If your roadmap already runs there, this closes the gap between calls and the features view directly.
Where it fits: teams already prioritizing features in Productboard who want calls feeding it without manual entry.
6. Enterpret
Enterpret treats sales calls as one of more than 50 ingestible sources alongside support tickets, reviews, and surveys, building an adaptive taxonomy across all of them and attaching account and revenue data to each rising theme.
It's the deepest option here for cross-source quantitative analysis, and it's built for that scale of adoption rather than a quick read on what came up this week.
Where it fits: organizations running feedback analytics across many channels, calls being one input among many. See our Modem vs Enterpret comparison.
How to choose
Decide who reads the output. For sales coaching and deal risk, Chorus or Gong's own tools are the better fit. If your roadmap already lives in Productboard, its Gong integration closes that loop without a separate tool. For analytics at scale across every channel, look at Enterpret, or Kraftful if you're standardizing on Amplitude. If the goal is getting a call-sourced request to an engineer with the customer's words attached, and merged with what that account said in Slack or email, that's Modem. Set the automation once and the same topic lands in Notion or Linear on its own. For what happens after a call-sourced topic is worth building, see our guide to routing customer feedback to coding agents.
