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Impact

PO Assistant

Backlog & Jira from Slack

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.

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At a glance

Proof 1

Review time: −75%

Proof 2

Ticket quality: +40%

Proof 3

Modeled ROI: 1,900%

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.

The Challenge

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.

The Solution

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.

The Results

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.

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