Context
Slack bot for Product Owners: manage backlogs and create Jira tickets from Slack. Backend: Railway, Hono, PostgreSQL. Metrics from an 8-week pilot with before/after timing and a shared quality rubric.
Proof 1
Review time: −75%
Proof 2
Ticket quality: +40%
Proof 3
Modeled ROI: 1,900%
Slack bot for Product Owners: manage backlogs and create Jira tickets from Slack. Backend: Railway, Hono, PostgreSQL. Metrics from an 8-week pilot with before/after timing and a shared quality rubric.
Product Owners were spending most of their week in administrative Jira work—reviewing incomplete tickets, recreating context across tools, and context-switching out of Slack where the team already lived. The challenge was to cut that overhead without adding headcount or weakening ticket quality.
Replaced an earlier CustomGPT flow with a Slack-native PO Assistant backed by Railway + Hono + PostgreSQL. Measured before/after grooming time on a fixed sample of tickets, scored ticket completeness with a shared checklist, and kept humans approving every write-back to Jira. Backend boundaries (Slack ↔ API ↔ Jira) stayed explicit for auditability.
Ticket review time dropped from ~15 minutes to ~4 minutes per ticket (75% reduction) across a 4-PO pilot over 8 weeks; acceptance-ready ticket quality scores rose ~40% on a shared rubric; annualized time savings modeled at ~1,900% ROI versus build cost ($15K) using $150/hr PM rate × hours saved.
When ambiguity is costing you—let's turn it into certainty.