Best feature request tracker for data analysts

There are roughly 40-60 general feature request and product feedback tools on the market (Canny, Productboard, Upvoty, Featurebase), but almost none target data analysts specifically. The common failure pattern: these tools are built for product managers managing user feedback, not for data teams managing internal tool requests from business users. The real pain point is translation—data analysts need to articulate *why* a feature matters (impact on query speed, data freshness, analyst hours saved) in a language their stakeholders understand, but existing trackers treat all requests as equal priority votes. The gap is massive: data teams use Jira or Notion as workarounds, losing context and losing credibility because those systems aren't designed for collaborative prioritization. A new entrant should focus on three things: (1) built-in ROI calculation for data requests (time saved, query performance gained, cost reduced), (2) integration with actual data infrastructure (warehouse schemas, BI tool usage logs) to auto-suggest which features would have the biggest impact, and (3) simplified voting from non-technical stakeholders with clear tradeoff visualization ("this feature takes 3 weeks and blocks 2 other requests"). The winning move is verticalization—own the data analyst niche completely rather than compete head-to-head with horizontal tools.