Three-bucket feedback taxonomy before prioritization
Separate general feature requests, quick wins, and data-heavy asks before roadmap debates start so each kind of request is judged by the right standard.
Why this can grow a startup
Feedback turns mushy when every request lands in one giant queue. Paces kept the board legible by splitting feedback into three buckets: general feature requests, quick wins or ad hoc tweaks, and data requests that were more technical. That matters because those categories do not deserve the same response time, owner, or sizing logic. A simple taxonomy lowers triage friction, stops small fixes from getting buried under strategic asks, and makes product conversations less likely to collapse into one noisy priority list.
Company example
Paces grouped incoming feedback into three buckets: general feature requests, quick wins or ad hoc tweaks, and data requests that were often complex and technical.
Source and metric
Source: Canny Case Study: Paces · Browse Canny Case Study: Paces tactics
Paces ran triage through three request buckets instead of one undifferentiated backlog.
Source discovered: May 29, 2026
When to use it
Use this when Product, Customer Success, Engineering is relevant to triage, roadmap quality, feedback taxonomy and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read Canny Case Study: Paces and identify what is directly supported.
- Choose one channel context: Product, Customer Success, Engineering.
- Define the test around Paces ran triage through three request buckets instead of one undifferentiated backlog..
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Connect activation, customer value, retention, and referral into one measurable loop.