Two individuals are engaged in a discussion while reviewing data displayed on a screen in an office setting.

Projectreinforcement:seniorengineersworkinginsideyourteam

Yougetacolleague,notaresource

Dashboard displaying metrics for deployment frequency, lead time for changes, and change failure rate.

Measuringwhatisactuallywrong

Logos of various software tools and platforms including GitHub, Jira Software, and Slack.

Supportwhereithurts

Reinforcetemporarily,leaveitstructurallybetter

Howitstarts

What Agile Analytics looks like

A few screens from the product, as you see them in use.

Engineering Health Report

One number for the health of your engineering, built from five scores: delivery, reliability, flow, predictability and hours. One glance shows you where it hurts and which way it is moving.

DORA metrics per repository

Deployment frequency, cycle time, time to restore and change failure rate, filterable per repository. The badges show whether you are performing at high or elite level.

Sprint insights

Every status transition of every ticket, with timestamp, type, assignee and a confidence score. It shows where tickets get stuck instead of leaving you to guess.

SLOs and error budget

Per service you see the current SLOs against their target and how much error budget is left, with deployments marked in the chart. So you know whether there is room left to release.

Team overview

Everything for one team on a single page: kudos, DORA figures, SLOs and error budget, filterable by the current sprint. Usable in a standup without opening seven tabs first.

Kudos

The praise team members give each other in their own channel, collected into a leaderboard and a who-thanked-whom overview. It shows how collaboration is going, not just how the numbers look.

Time tracking

Log hours against organisation or personal projects, per week, right beside the numbers they feed. That turns hours efficiency into a score in the health report instead of separate admin.