How Two Nights of After-Work Coding Cut Our Sprint Planning From Three Days to Half a Day
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A product manager with a CS background built a simple Flask app called SprintFlow in two after-work nights to fix a chronic sprint planning bottleneck. The tool replaced error-prone Excel-based capacity planning with a shared backlog, per-person capacity bars, and filtered views per product owner. Sprint planning time dropped from three days to half a day, and the improvement held for six months. Key lessons: treat internal process pain as a product problem with real users and acceptance criteria, lead with personal benefit when driving tool adoption, and use existing skills to ship solutions without waiting for formal approval.
Questions this post answers
What's a practical way to reduce sprint planning time when Excel-based capacity tracking is slowing down the team?
Replacing Excel with a purpose-built shared backlog tool can cut sprint planning from multiple days to half a day. A minimal viable version needs per-person task assignment with day estimates, visual capacity bars, split-sprint pipeline visibility, and filtered views per product owner. Writing a clear PRD before coding keeps the build focused and the outcome aligned to actual team needs. Teams still wrestling with planning overhead find the tradeoffs between lightweight tools and full-blown PM platforms covered on daily.dev.