The 8 best tools to mine product feedback from sales calls in 2026

Short answer. To turn customer call recordings into feature requests, keep only calls with someone from outside your company on them, pull out each separate ask with the customer's exact words and their company, check it against what you already ship, add it to an existing request where one exists, and file what's left in your tracker. A person can do that for a few dozen calls a month. Past that, pick a tool by where you want the output to land. Gong's own AI Trackers and Ask Anything keep the analysis inside Gong. Linear's Gong integration (Linear Enterprise) files requests into Linear's triage. Productboard and Enterpret pull calls into a roadmap or analytics workspace. BuildBetter turns calls into cited documents and tickets. Chorus and Fireflies flag moments for the teams already recording with them. Modem (our product) reads Gong and Fathom transcripts alongside Slack, support tickets and email, groups each customer ask into a topic with the quote and the company attached, and files the Linear, Jira, GitLab or GitHub issue when someone asks. It doesn't coach reps, it has no native integration for recorders other than Gong and Fathom, and it doesn't check requests against what you already ship.

A rep hears "we'd buy today if you had SSO" or "we're looking at switching because of this" several times a week, writes a line in the CRM if they remember, and moves to the next call. The recording sits in Gong or Fathom, technically searchable, practically never watched again by anyone building the product.

When teams describe this problem, the complaint is rarely transcription. It's noise: internal calls mixed in with customer calls, a rep's demo mistaken for feedback, and a prospect naming a feature you already have showing up as a "request." So this guide starts with a method you can run without buying anything, then ranks eight tools. Modem is one of them, and we build it, so read its entry with that in mind.

“we need SSO before rollout”

“any update on single sign-on?”

“SSO came up twice on this call”

↓ classified + deduped into

SSO requests

8 accounts asking · quotes kept

filesLinear issue, quotes attached

writesinsight report in Notion

answersproduct and engineering

The short version

How to turn call recordings into feature requests by hand

Every tool below automates part of this. It's worth running by hand for a month first, with a spreadsheet and your recorder's transcripts, because you'll learn which calls carry product signal and what the people reviewing it need to see.

1. Pick the calls that count

• Keep calls with at least one outside participant. Pipeline reviews, deal strategy and coaching calls are about selling, not the product.
• Don't stop at sales calls. Discovery and demo calls tell you what prospects evaluate. Customer success, onboarding and renewal calls are where paying customers say what's missing or broken. How to pull feature requests from CS and renewal calls covers that side.
• Inside each call, skip your own team's pitch. When your rep explains what the product does, that's a demo, not feedback. What counts is what the customer side asks for, objects to, reports as broken, or says they work around.

2. Pull out each ask as its own row

One call usually holds several unrelated asks. Write one row per ask, not one summary per call: a one-line problem statement, the customer's verbatim quote, the timestamp, the speaker, and the call link. "SSO came up" is a summary. "Needs SAML SSO with Okta before company-wide rollout, 14:32, call link" is a request someone can act on. Speaker labels come from automated transcription and can be wrong, so trust the words over the label.

3. Separate real requests from features you already ship

This is the step most pipelines skip, and it's where a request list fills with noise. The same three letters can mean four different things:

Two habits make this fast. Read the rep's answer right after the ask, since it usually says whether the thing exists, is planned, or was declined. And keep a short list of the features prospects ask about most, with the names customers use for them (single sign-on, SAML, "Okta login"), so a reviewer can check in seconds.

4. Attribute every request to an account

• Name the company from the speaker's work email domain, not from the name on the call. Personal addresses like gmail.com don't identify a company, so mark those unknown rather than guessing.
• Mark prospects and customers separately. Ten prospects asking during evaluation is a different signal from ten paying accounts.
• Count accounts, not mentions. One customer who raises SSO on four calls is one account.
• Join plan or revenue at review time from your billing system or CRM, instead of typing it into each row where it goes stale.

5. Merge before you file

Search your tracker for the feature's noun (SSO, SCIM, audit log) before opening anything. If an issue exists, add the account, the quote and the call link to it. If not, open one with every account and quote you collected for it. If the tracker project or repo is public, leave customer names, quotes and call links out of it and keep them in your spreadsheet against the issue number. How to avoid duplicate tickets when several sales calls mention the same feature goes deeper.

6. If you use an AI assistant for the extraction

Pasting a transcript into a general-purpose assistant works for a handful of calls. Check your company's data policy first: transcripts carry names, email addresses, and sometimes numbers customers read out loud. A prompt that encodes the steps above:

Read this customer call transcript. Ignore anything our team says while
explaining or demoing the product. For each separate thing the customer
side asks for, reports as broken, objects to, or says they work around,
return one row with:
- problem: one neutral sentence
- quote: the customer's exact words
- timestamp and speaker
- type: request, bug, question about an existing feature, or evaluation checkbox
- our answer: what our rep said in reply, if anything
Return nothing for greetings, scheduling, or passing mentions.

This routine holds up at low volume. It breaks when calls pile up faster than one person can read them, when calls sit in more than one recorder, or when the same request also arrives in Slack and support tickets and nobody connects them. If you're weighing whether to build the automated version yourself, see should you build your own AI feedback pipeline?

1. Modem

Modem is for product and engineering teams that want what customers say on Gong and Fathom calls to land in the same deduplicated request list as their Slack threads, support tickets and email, with the quote and the company attached.

What it reads. Modem has native integrations for Gong and Fathom, both connected with OAuth (Gong is on the Scale plan and above, and during a trial). It ingests the full transcript as speaker turns, the participant list, the call's title, time and length, and a link back to the call. It doesn't touch audio or video, doesn't join or record calls, and writes nothing back to Gong or Fathom. When you connect, it imports the last 30 days, up to 100 calls. After that, Gong is checked about every 15 minutes and Fathom sends each meeting by webhook once it finishes processing. In Gong you choose which workspaces to capture, and "External calls only" is on for new connections; Fathom has an "External meetings only" toggle. A call counts as internal only when every participant is marked internal, so when the recorder isn't sure, the call is captured. There's no keyword, title or per-rep filter.

Modem has no native integration for Zoom, Google Meet, Fireflies, Grain, Chorus, Avoma or Granola, and its Ingest API can't create call transcripts, so calls recorded in those tools don't reach Modem as calls.

What it does with a call. A call is read as a conversation, not squashed into one summary. Each separate thing the customer side asks for, reports as broken or objects to becomes its own item, and Modem is built to pull out what customers ask rather than your rep's demo. A question like "do you support X?" counts as a feature request whatever the answer, and a passing mention produces nothing. Each item joins an existing topic by meaning or starts a new one, so an SSO ask from a call sits on the same topic as the Slack thread and the support ticket about SSO. One call can feed several topics. Topics are typed as bug report, feature request, complaint, praise or discussion, and get an AI-assigned priority that weighs severity, how many companies are affected, whether it keeps recurring, and more. Each quote shows its position in the call (for example 14:32) and links to the call in Gong or Fathom, though not to that exact moment.

Who said it. Speakers with an email address are matched to people by that email, and to companies by their work email domain, skipping personal domains like gmail.com. Your own teammates are recognized as your team. A speaker the recording tool has no email for stays a separate, call-only person until someone merges them by hand, so attribution can be partial. If you connect Stripe, plan and billing data sits on the companies behind a topic, and the agent joins it when you ask. Modem doesn't link a call to a Salesforce opportunity or read Gong's CRM records; its Salesforce integration is a read-only sync the agent can query on request.

Acting on it. Ask the Modem agent in the dashboard questions like "What are customers asking about in our Gong calls this week?" When a teammate asks, or an automation the team built runs, the agent files a Linear, Jira, GitLab or GitHub issue. Linear issues follow a template with the problem, the context, up to three customer quotes and a link back to the topic; for Jira, GitLab and GitHub, the agent includes quotes when you ask for them. In Slack and, by default, in the dashboard, a public or customer-facing write, such as an issue on a public GitHub repo, shows an Approve or Deny card first, while routine internal writes such as creating a Linear issue go through; automations run without an approval step. An automation can also write a recurring report to Notion. Nothing is filed unless someone asks or an automation runs.

Why it works this way. We built Modem because customers say what's missing on calls and almost none of it reaches the people building the product, while the same ask shows up in Slack and support tickets with nobody connecting the two. So Modem treats a call as one more conversation, like a Slack thread, instead of being a separate call-intelligence product. The tradeoff: there's no rep coaching, talk-ratio, deal-risk or win/loss analytics, and no built-in competitor, objection, churn or sentiment fields. The agent can search transcripts for those when you ask, but nothing scores them.

Privacy. Every call Modem captures is visible to everyone in your Modem organization, even someone who couldn't open that call in Gong. Gong's and Fathom's per-user permissions don't carry over. The controls are on the Modem side: which Gong workspaces you capture, the external-only toggles, and disconnecting.

Pricing. Unlimited seats on every plan. Plans differ by monthly events ingested and agent credits, with opt-in pay-as-you-go above that under a budget cap. See Modem's pricing.

Where it fits: teams that want call feedback merged with what the same accounts say everywhere else, and turned into issues for engineers or coding agents. When Modem is the wrong pick: you need rep coaching or deal analytics (Gong, Chorus); your calls live in a recorder other than Gong or Fathom; you want sentiment, survey or NPS analytics at enterprise scale (Enterpret); you want a roadmap tool with a customer-facing portal (Productboard); or you need an in-app survey widget, which Modem doesn't have.

2. Gong

Gong is the recorder most product teams are trying to get signal out of, and it does more on its own than "flag a moment." AI Trackers (Gong's new name for Smart Trackers) detect concepts in calls and emails by meaning rather than exact keywords, so a feature-request tracker can mark every call where one comes up. AI Ask Anything answers questions across your customer conversations, drawing on up to the top 100 matching calls per answer, and Gong is evolving it into Gong Assistant.

To get a single moment out of Gong, a user can highlight transcript text and send it as a feature request to Productboard or a support ticket to Zendesk. That step is manual, one snippet at a time. Automatic extraction into a product tool runs through Linear's integration (below) or Gong partners such as Harvestr and ClosedLoop AI. We didn't find a native Gong-to-Jira or Gong-to-Linear sender on Gong's side, or a built-in feature-request queue.

Pricing: per-user licenses plus a platform fee, quoted by sales (Gong pricing). Ask Anything needs a paid seat. People without one can be free Collaborators who can listen to and search calls, which is often enough for a PM; see how to give your product team Gong call context without a Gong seat.

Where it fits: revenue teams that record, coach and forecast in Gong, with product people searching the same library. Poor fit: a product team that needs a counted, deduplicated request list tied to tickets, or requests from Fathom and other recorders in the same place. Can Gong Ask Anything tell you how many customers asked for a feature? covers the counting question.

3. Linear's Gong integration

If engineering already lives in Linear, Linear's Gong integration is the most direct path from a recording to an issue. It checks for new Gong recordings, skips internal calls and calls under 10 minutes, and has the Linear agent file the feature requests and bugs it finds into a team's Triage view, with a summary, transcript excerpts with speaker attribution, and a timestamped link to the recording. No one has to click anything. Linear's Triage Intelligence suggests duplicates, and for requests its agent files, it merges duplicates into existing issues.

Pricing: the Gong integration needs Linear's Enterprise plan, which is custom and billed annually (Linear pricing). Setup takes a Gong technical admin and a Linear admin.

Where it fits: engineering-led teams on Linear Enterprise whose call feedback is in Gong. Poor fit: teams on Linear's lower plans, teams whose calls are in Fathom or another recorder, or teams that want the same request from Slack, Discord and email counted together before anything is filed.

4. Productboard

Productboard's Gong integration checks Gong for new recordings about every five minutes and creates a feedback note from each one, with the transcript organized by speaker and linked to the customer record. Filters on call title, transcript content, attendee email or domain, and Gong workspace, combined with AND/OR logic, control what comes in. Productboard's AI agent, Spark, then clusters notes into themes and ranked opportunities and can link notes to features automatically through rules.

Pricing: per maker (people with edit rights), with a free plan; see Productboard pricing.

Where it fits: teams already prioritizing features in Productboard who want calls to feed it without manual entry. Poor fit: engineering teams that want the output as Linear issues; the Linear path we found is a Spark MCP connector, not a native sync. Our Productboard alternatives guide compares lighter options.

5. Enterpret

Enterpret treats sales calls as one of more than 50 sources, alongside support tickets, reviews and surveys, and builds an adaptive, three-level taxonomy across all of them. Account attributes such as plan and ARR sync from your CRM, so themes can be filtered and segmented by account value. Its Wisdom MCP server gives AI clients a read-only view of the analysis.

Turning a theme into engineering work means linking it to existing Jira or Linear items, which then sync status back. Creating new Jira or Linear issues from Enterpret was listed as coming soon in its help center when we checked on October 7, 2026.

Pricing: no public price list; Enterpret says it prices on feedback volume, integrations and team size.

Where it fits: product and CX organizations running feedback analytics across many channels at volume, with calls as one input among many. Poor fit: a small team that mostly needs requests filed as tickets. See our Enterpret alternatives guide and Modem vs Enterpret.

6. BuildBetter

BuildBetter is call-first. It ingests recordings from Zoom, Google Meet, Teams, Webex, Gong and Chorus, plus Slack, support tickets and surveys, and extracts typed "signals" (requests, problems, objections and more), each scored for severity and business impact. A triage inbox decides what becomes work, ARR from linked customer companies is summed per project, and documents such as PRDs cite the source quote or timestamp for each requirement. It creates Linear issues with two-way status sync and pushes Jira tickets one way.

Pricing: usage-based credits with unlimited seats, sold as annual plans; MCP access starts at the Explorer tier. See BuildBetter pricing.

Where it fits: product teams running continuous discovery from calls who want cited PRDs and tickets from the same tool. Poor fit: teams that don't want documents generated for them. If your calls are in Fireflies, BuildBetter imports them by date range with a Fireflies API key. The BuildBetter alternatives guide compares the options.

7. Chorus by ZoomInfo

Chorus records, transcribes and analyzes calls, joined with ZoomInfo's account and contact data. Its AI trackers surface topics such as next steps, pricing and objections. In Salesforce, Chorus writes a record for each recorded call and a child "Moment" record for each time-stamped detection, with the snippet, speaker and tracker, so a custom tracker for feature-request language becomes something you can count in Salesforce reports without reading calls.

Pricing: custom plans through sales.

Where it fits: ZoomInfo customers who want conversation intelligence in the same stack as their account data and Salesforce reporting. Poor fit: turning those detections into a deduplicated request list or tracker issues isn't something its docs describe, and we didn't find a Linear or Jira integration.

8. Fireflies.ai

Fireflies records and transcribes meetings, with a keyword-based Topic Tracker and AskFred for questions across past meetings. Its AI Skills include a Feedback Tracker that collects product feedback from calls and sorts it into feature requests and bug reports. Skill outputs can be sent to Jira, Linear or Asana, and the Jira integration can create issues with the owner, the time in the call and a link back to the recording.

Pricing: per seat, with a free plan; see Fireflies pricing.

Where it fits: teams already recording with Fireflies who want call feedback pushed to a tracker without another product. Poor fit: we didn't find documentation for merging the same request from many calls into one counted item, or for combining it with feedback from Slack and support.

Recording in something else?

• Fathom has trackers, Slack alerts for highlights, and global search across calls on its Team plan. Superhuman announced it acquired Fathom on September 14, 2026, and says nothing changes for Fathom users for now. Modem reads Fathom natively.
• Grain offers Ask Grain and, on its Business plan, trackers. Grain itself says Linear and Jira go through Zapier.
• Granola answers questions across a folder of meetings with citations, and its Recipes can pull feature requests out of customer interviews.
• Kraftful was on earlier versions of this list. Amplitude acquired it in 2025 and the standalone product shut down; its feedback analysis now lives in Amplitude's AI Feedback, which we haven't evaluated for calls, so it isn't ranked here.

How to choose

• You want analysis to stay in your recorder: Gong's AI Trackers and Ask Anything, or the search and trackers in Fathom, Fireflies or Grain.
• Engineering lives in Linear and you're on Enterprise: Linear's Gong integration.
• Your roadmap lives in Productboard: its Gong integration and Spark.
• You need analytics across dozens of channels at volume: Enterpret.
• You want calls turned into cited PRDs and tickets: BuildBetter.
• Your sales org runs on ZoomInfo and Salesforce: Chorus.
• Calls are one channel among many, and you want the same request from a call, a Slack thread and a ticket counted once and filed when you decide: Modem, with Gong or Fathom as the recorder.

For what happens after a call-sourced request is worth building, see our guide to routing customer feedback to coding agents.

FAQ

How do you turn customer call recordings into feature requests?

Keep calls with outside participants, including customer success and renewal calls. Pull out each separate ask with the customer's exact words, a timestamp and the call link. Check whether it's something you already ship, a gap in something you ship, an evaluation checkbox, or a real missing feature. Attribute it to a company by the speaker's work email domain, count accounts rather than mentions, and add it to an existing tracker issue before opening a new one.

What's the best tool to analyze Gong calls for product insights?

It depends on where the insight needs to end up. Gong's own AI Trackers and Ask Anything keep it in Gong. Linear's Gong integration (Enterprise) files requests into Linear. Productboard imports each recording as feedback for roadmap work, and Enterpret adds calls to cross-channel analytics. Modem groups what customers said on Gong calls with the same requests from Slack, support and email, and files issues when someone asks.

How do you stop a question about an existing feature from becoming a feature request?

Read the rep's answer right after the ask, and keep a list of your most-asked-about features with the names customers use for them. A question about something you ship is a docs or positioning signal, not a request; a gap in a shipped feature is a request for that gap. Modem doesn't make this check for you: it logs "do you support X?" as a feature request whatever the answer, so a person still makes the call.

Can Modem read calls from Zoom, Fireflies or other recorders?

Not natively. Modem's native call integrations are Gong and Fathom. It has no native integration for Zoom, Google Meet, Fireflies, Grain, Chorus, Avoma or Granola, and its Ingest API can't create call transcripts.

Who can see the calls Modem captures?

Everyone in your Modem organization. Gong's and Fathom's per-user call permissions don't carry over, so choose which Gong workspaces to capture and keep the external-only toggles on if some calls shouldn't be widely visible.

Does a PM need a Gong seat to see what customers said?

Not to listen. Gong's free Collaborator access covers listening to and searching calls, and shared links work for people without a license. Ask Anything needs a paid seat. How to give your product team Gong call context without a Gong seat walks through the options.