Prioritize Feature Requests
Feature requests capture wishes, not real problems. Feature request forms collect a title and a description. This template conducts an AI conversation that uncovers the actual workflow, the frustration driving the request, and the outcome the customer needs — so your team builds the right thing, not the loudest thing.
How this AI template works
When a customer submits a feature request, this template triggers an AI-powered conversation that goes beyond the surface. It asks what they’re trying to accomplish, what workaround they use today, and how important the request is relative to other needs. The AI adapts follow-up questions based on their answers, surfacing the jobs-to-be-done context that product teams need to prioritize effectively. Insights are summarized and routed to your product management tools.
Getting started
- 1
Define the types of feature requests you receive most often
- 2
Customize the AI conversation to probe for workflows, urgency, and impact
- 3
Connect to your product management tool — Jira, Linear, Productboard, or Notion
- 4
Deploy via in-app embed, email link, or support ticket follow-up
Template Details
- Agent Type
- Interviewer
- Industries
- SaaS / Tech
- Roles
- Product ManagerResearch
- Times Used
- 2,500+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
No context. No follow-up. No next step.
- Feature request forms capture what customers want but not why — 'add a dashboard' could mean ten different things depending on the workflow context you never collected.
- Static dropdowns can't distinguish between a minor convenience request and a deal-breaking gap driving churn — everything gets marked 'high priority' or ignored completely.
- Text boxes invite solution descriptions instead of problem descriptions, so your product team has to reverse-engineer the actual need from vague feature suggestions.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Right team. Full context. Instant action.
- AI conversations explore the job-to-be-done behind every request, capturing workflow context and current workarounds that reveal the real problem to solve.
- Adaptive follow-ups measure pain severity and frequency automatically, so your team can distinguish critical blockers from nice-to-have improvements.
- Conversational probing captures the business outcome customers need, not just the feature they imagined — giving product teams insight to build the right solution.
What makes a good feature request form?
A good feature request form captures the problem behind the request, not just the solution customers imagine. Traditional forms ask 'What feature do you want?' and get responses like 'better reporting' or 'dashboard improvements.' But customers describe solutions, not problems. Two people requesting 'better reporting' might have completely different underlying needs — one needs board-ready metrics, another needs debugging data. An effective feature request template asks follow-up questions to understand the current workflow, the specific pain point, and the business impact. This context lets product teams group similar needs and prioritize by real impact.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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