Revenue-weighted prioritization
Pass an mrr trait when you identify a user and Usero sums it across the distinct people behind each feedback item and each AI cluster. Sort your inbox and your clusters by dollars, then open the GitHub PR for the theme your paying customers want most.
Vote counts lie about your backlog. Five free users asking for dark mode outvote the $5,000 customer asking for SSO, and the tool that only counts heads will rank them that way every time.
The revenue view of a backlog usually lives behind a CRM integration. You connect Salesforce or Segment, map a spend attribute, keep the sync healthy, and pay for the tier that automates it. That is a reasonable trade for a sales-led company where the CRM already owns the truth about each account. For a developer shipping their own product, it is a strange detour: your code already knows exactly who the user is and what they pay, because it charges them. The number you need is sitting next to your auth logic. What you want is a way to hand it over from there, and then to see it on the grouped themes where prioritization happens.
How it works
Disclosure: I build Usero, so weigh that. Usero already links every feedback item to a Person through the identify() call. Revenue weighting adds one trait: call identify({ traits: { mrr: 499 } }) wherever you already identify the user, and the number lands on the person. The inbox and the AI clusters then carry revenue sums, computed over distinct people so five tickets from one $500 customer stay $500, and you can sort by revenue instead of volume. Clusters are the point: Usero groups duplicate feedback by meaning on its own, so "$3,000 of MRR is asking for this theme" shows up without anyone manually triaging requests first. From the highest-revenue cluster you open a GitHub pull request with a first pass at the fix, review the diff, and merge it yourself. This is an early feature and the current slice is deliberately small: no CSV revenue import, no Stripe sync, no revenue-weighted reports yet.
One line next to your existing identify() call. No Salesforce connection, no Segment pipeline, no sync to babysit, no price tier gating the feed. If your billing logic knows the number, Usero can have it.
Revenue is summed over the distinct people behind a cluster, not over feedback rows. A loud customer who files the same complaint five times contributes their MRR once, so the ranking reflects who is asking, not who types the most.
Clustering already groups duplicate reports by meaning. The revenue sum sits on the cluster, so you read "this theme has $3,000 of MRR behind it" without curating feature requests by hand first. The triage that usually feeds revenue weighting is the part that runs itself.
Sorting clusters by revenue answers the question the number exists for: which fix ships next. From the top cluster you open a GitHub pull request scoped to its reports, review it, and merge it through your own branch protection.
The honest objection
Only partly, today. The trait is per-person, so for team accounts you decide what to send: the account MRR on every seat, the per-seat share, or the number only on the billing owner. Each is defensible and each skews the sums differently, and Usero does not yet resolve people into companies the way a CRM-backed tool does. A Stripe sync and a company rollup are the obvious next steps and neither has shipped. If your revenue model is heavily account-based and you need company-level attribution now, a CRM-integrated tool does that job better than this first slice.
FAQ
Pass an mrr trait in the identify() call you already make: identify({ userId, traits: { mrr: 499 } }). The value is stored on the Person record, and every feedback item linked to that person contributes it to inbox and cluster revenue sums.
No. The feed is your own code. If you prefer a pipeline, anything that can call the identify endpoint can send the trait, but there is no CRM requirement and no plan tier gating the feed.
It is the sum of mrr over the distinct people whose feedback belongs to the cluster. Multiple reports from the same person count their revenue once. People with no mrr trait contribute nothing rather than blocking the sum.
Yes. Both the inbox and the cluster list can sort by their revenue sums, so the default question changes from "what got reported most" to "what are paying customers asking for".
CSV import of revenue, Stripe-customer sync, company-level rollups, and revenue-weighted reports. The current slice is the identify() trait, distinct-person sums on the inbox and clusters, and revenue sorting.
Free tier. No credit card. Two-minute install. The AI opens the PR, you merge it.
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