A Canny board can be full of real customer signal and still be impossible to work from. Strawberry can read boards, posts, comments, votes, and people, so a product team can find the recurring problem behind the noise and prepare an accountable next step.
01
Find the problem behind the pile of posts.
Vote counts matter, but they do not tell the whole story.
Strawberry can inspect the posts, comments, categories, and votes in a board to distinguish one loud request from a pattern that appears across customers.
02
Give every update enough context.
A status change without the original feedback can sound like a product announcement made in a vacuum. Strawberry can assemble the request, comment history, and voting context before you decide what to tell the people who asked.
03
Turn a support pattern into a product input.
Product feedback often arrives without the language an engineering or research team needs.
By reading connected posts and user records, Strawberry can prepare a concise handoff that preserves the customer evidence instead of reducing it to a vague feature title.
04
Keep boards from becoming archaeological sites.
Old posts, duplicate ideas, and forgotten status labels make a feedback system less trustworthy. Strawberry can identify candidates for consolidation or status review, then queue the intended changes for a human decision.
Canny Strawberry