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Feature request and bug triage
What Velros AI runs

It gathers the signals about feature requests, bugs, complaints, and duplicates from across your channels, removes duplicates, and sets priorities.

Feature request and bug triage

Velros AI gathers feature requests, bug reports, usability complaints, and duplicate reports, and the roadmap reflects what users actually hit.

Request and bug classification time
Duplicate-report merge rate
Count of reports with no reply
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For an online solo founder, reports come in at once through Intercom, Discord, Slack, email, and the issue tracker, so the same bug gets reported across several channels and what to fix first has to be sorted out again every time. An urgent bug gets buried under a feature request or the reverse, and reports that vanish without a reply pile up. Scattered reports make both reproducing and prioritizing hard.

This is the request that gets handled like this.

We gather the work as it actually arrives, and record what each step is judged against.

  1. Merge the reports in one place

    Pull feature requests, bugs, and complaints from every channel into one queue and attach the original link.

    Judgment Even across different channels, treat the same symptom or request as a candidate to group, so you reduce duplicates to one.
  2. Classify the type

    Label as feature request, bug, or usability complaint and mark whether it can be reproduced.

    Judgment Tell a bug from a request first, since the handling path and the urgency differ.
  3. Merge duplicates and note reproduction

    Merge the same items and draft reproduction-step notes and an organized request.

    Judgment Merge the same feature or symptom into one but keep the original links so you can trace who requested it and when.
  4. Organize priority candidates

    Attach ranking candidates from frequency and impact signals and raise them to a person.

    Judgment The ranking goes only as far as a candidate; confirming the actual priority goes to a person.
  5. Report tracking card

    Build a card holding the report, its type, its status, and the next action, and track it as open.

    Judgment Attach a closing condition (fixed, shipped, or explicitly deferred) so it does not vanish without a reply.

When it's ambiguous, we don't pin down the priority.

We settle the exceptions that actually come up before they do. When a rule doesn't fit, we don't force it through. It goes to a person, with the evidence.

Exception The same bug is reported across several channels

Merge them into one and keep all the original links so you can see how many people hit it.

Exception A feature request and a bug are mixed in one message

Open the bug as the main case and branch the feature request into a separate case, keeping both alive.

Exception The classification is ambiguous

Don't force a label; leave it as needs a person, but raise it as a bug immediately if it reproduces.

The roadmap and the priority are a person's call.

Anything touching money, contracts, personal data, or the brand is drafted and no further. It sends only after a person approves.

  • Putting it on the public roadmap

    It becomes a public commitment that is hard to walk back, so a person confirms it.

  • A public reply to a reporter

    It is wording that carries brand voice, so a person approves it before it is sent.

  • Confirming the priority

    What to fix first is a person's call, not code's.

  • Judging bug severity and urgent response

    It is a call about how to allocate effort, so it belongs to a person.

  • Telling a reporter a feature request is accepted or declined

    It affects the relationship, so a person checks it.

How you know it worked

We measure it by how fast we classified and merged.

Request and bug classification time

Measure the time from a report coming in to it being classified before and after rollout.

Duplicate-report merge rate

Measure the share of reports merged as the same item before and after rollout.

Count of reports with no reply

Measure the number of reports left with no reply before and after rollout.

Rule

A report can carry a user's name, contact details, or personal information inside a screenshot, so keep only what you need and clean it up so personal data is not exposed when you make it public or file an issue.

There is less that a person has to hold on to.

Once the scattered checks and repeat replies are drafted and sorted, your staff can spend the day on review and exceptions, and you look only at the decisions that matter.

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Today

Checks pile up on a person.

Reports scatter and duplicate across channels, and a person re-reads everything each time to decide what to fix first.

With Velros running it

The work arrives ready to go.

Reports collect in one queue, triaged and merged, and a person only handles the priority calls and the exceptions.

Request and bug classification time Duplicate-report merge rate Unanswered report count

What people ask before they hand this over

The things people actually check first about Feature request and bug triage.

How do you group duplicate reports?

We merge reports of the same feature or symptom into one and keep the original links so you can trace who requested it and when.

Does Velros AI set the priority?

It only attaches candidate rankings from frequency and impact signals; confirming the actual priority is a person's job.

Does it reply to reporters directly?

It goes only as far as organizing and drafting the reply, and the public reply is sent after a person confirms it.

What to sort out next

We start with the work that keeps a person tied up.

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