Can customers submit requests directly?

Yes. You can expose a public request form or keep it internal for CS and sales to fill on behalf of customers.

Can we see which accounts requested which features?

Each submission carries account metadata so you can filter requests by segment, revenue, or lifecycle stage.

Does AI rank requests by impact?

AI highlights patterns like revenue at risk, segment importance, and frequency to help with prioritization.

Collect feature requests with enough context to act

A vague feature request is hard to prioritize. This intake form captures the problem behind the request so you can decide if it belongs on the roadmap.

What is a feature request intake form?

A feature request intake form is a structured questionnaire that asks why a feature is needed, who it serves, and what happens if it is not built.

Pain points

One-line feature requests with no business context
Roadmap debates driven by opinions instead of data
Losing track of who originally asked for a feature

How Intakly helps

Force clarity on the problem and desired outcome
Use AI to connect similar requests from different accounts
Keep a clear link between feature ideas and requesting customers

Who this is for

Product Teams
Customer Success
Account Managers

FAQ

Can customers submit requests directly? Yes. You can expose a public request form or keep it internal for CS and sales to fill on behalf of customers.
Can we see which accounts requested which features? Each submission carries account metadata so you can filter requests by segment, revenue, or lifecycle stage.
Does AI rank requests by impact? AI highlights patterns like revenue at risk, segment importance, and frequency to help with prioritization.

Details

What this use case is

This use case formalizes how feature requests enter your roadmap discussions. Instead of ad hoc notes, you collect structured input that focuses on the underlying problem, not just a solution idea.

How AI Intake Forms helps

AI reads long-form descriptions, pulls out core pain points, and links similar requests together. It turns raw requests into concise summaries your product team can review in a fraction of the time.

Key benefits

Receive fewer “nice to have” requests with no clear value
Highlight high-impact requests from strategic accounts
Maintain a live backlog of structured, searchable feature ideas

Example workflow

Sales or CS open the form during calls when a feature request comes up.
They capture the problem, the workaround today, and the impact of not solving it.
AI summarizes and tags the request by product area and urgency.
Product reviews grouped requests before roadmap planning.
Approved features keep a traceable link back to the original requester.

Call to action

Move feature requests out of scattered notes and into a structured intake that your team can actually use to make roadmap decisions.