MISSION

Customer feedback analysis ranked by revenue impact

Not every feature request carries the same weight. This mission ranks what customers ask for by the revenue behind it, with every request linked to the accounts and calls.

Inspired by

Yuriy Zaremba

View original post →View LinkedIn profile →

September 23, 2026

Mission type

Competitive & Market Intelligence

Best for

Product
Executive/Leadership

Output

A ranked feedback list tied to account revenue

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What it does

This mission brings customer feedback from every source into one ranked list. It pulls requests and complaints from your Fathom calls, then combines them with support tickets, Slack threads and the account revenue in your CRM. AI groups everything into topics and ranks each topic by the revenue of the accounts raising it, with every customer and call linked.

Product sees which problems matter most to the business, and sales and success can see the requests they hear reach the roadmap. If you'd rather not build it, Fathom's Twine and Edgedive integrations offer a ready-made version.

Who it's for

Product leaders and founders who need to prioritize a long list of requests and want revenue, not volume, to decide what comes first.

The flight plan

Build it once, then refresh it before each planning cycle.

  1. Connect Fathom, your CRM and your support tool to ChatGPT or Claude, or pull them together through the Fathom API.
  2. Run the starter prompt on the last 90 days of customer calls.
  3. Check the top topics against the source calls and tickets.
  4. Bring the ranked list to roadmap planning.
  5. Refresh it each cycle and note which topics grew.

RULES

Rank by the revenue of the accounts asking, then by how many asked.

Link every topic to the customers and calls behind it.

Keep new requests separate from bugs.

Note what's already being built so nobody asks twice.

Let product make the final call.

What good looks like

A good list shows each topic, the revenue behind it and who's asking. A mediocre one counts mentions without context.

GOOD

"Topic: bulk export for admins. Seven accounts asking, including three of your largest by revenue. Raised on 11 calls and four tickets. Not on the current roadmap."

MEDIOCRE

"Customers want better exports."

STARTER PROMPT

⧉ Copy

Use Fathom to pull my customer calls from the last 90 days. Find every feature request, complaint and workaround customers describe, with the exact quote and the account.

Group them into topics. For each topic, list the accounts raising it and their annual revenue from [CRM], how many calls it came up on and two quotes. Rank topics by the total revenue of the accounts asking, then by number of calls.

Flag anything that looks like a bug rather than a request.

FAQs

Questions? We’ve got you covered.

How do you prioritize customer feedback?

Weigh each request by who is asking, not only how many. Ranking topics by the revenue of the accounts raising them, with every account and call linked, shows product which problems matter most to the business.

Do I have to build this myself?

No. Fathom integrates with tools like Twine and Edgedive that turn customer calls into ranked product signals. Building it with ChatGPT or Claude gives you more control over how topics are grouped and ranked.

Which Fathom plan do I need for this?

Any Fathom plan, including Free. Fathom's MCP integration with ChatGPT and Claude is on every plan, as is the Public API.

What is customer feedback analysis?

Customer feedback analysis is the process of collecting feedback from calls, tickets, surveys and other channels, grouping it into themes and deciding what to act on. Tying each theme to revenue helps teams prioritize.

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