When you're a CTO or engineering lead at an early-stage startup, Jira is a graveyard of data nobody reads. Until something breaks.
Every Monday you pivot through Jira, cross-reference due dates, filter by sprint — just to answer "is the project on track?" 45 minutes. Every single week.
Cycle time crept up over three weeks. A task was quietly reassigned twice. Nobody noticed until the sprint review.
Some contributors are blocked, others overloaded. You find out during 1:1s. By then, delivery accuracy has already taken a hit.
See what's happening with your delivery — and act on it. No forms, no clicks, no PM needed.
A single health score computed from Jira transitions — no setup. Below 40 is Critical. mFlow reads changelog data and recalculates continuously.
Cycle Time, Throughput, Reopen Rate, Delivery Accuracy — all derived from Jira changelog. No tags, no custom fields, no config.
mFlow scans every project for backlog growth, cycle time regression, stale tasks, and repeated reassignments. Surfaces them before they become your problem.
The AI knows your cycle times, blockers, and contributor load. Ask "what is slowing us down?" and get a data-backed answer — not a generic tip.
Ask questions in plain English and get data-backed answers specific to your team — not generic advice. No prompting guides needed.
From Jira connection to delivery insights in under five minutes.
Click "Connect Jira." An OAuth popup opens — no tokens to copy, no API keys. Authorize mFlow in your Atlassian account and close the popup.
Choose which Jira projects to include and how far back to sync — from 1 month to 2 years. First sync is full; after that, mFlow only fetches changes.
PSI scores, delivery metrics, and risk flags appear immediately. Open the AI assistant and ask anything — it has full context of your data.
Free to start. Connects in under 2 minutes. No PM required.
Connect Jira — it's free →