Track blended human-and-AI effort at the Jira ticket level.
Blog Resources
Ground your workforce plan in delivery data, then extend it to AI agents
A guide for Tempo users weighing whether a different tool would solve the problem
- Structure PPM
Here’s what to look for if you’re measuring delivery against capacity
- Structure PPM
How to balance AI delivery velocity with cost control.
- Workforce Intelligence
Why output metrics only answer half the question, and what effort and AI-contribution data tell engineering leaders
- Workforce Intelligence
What each platform measures, where it runs, and what its capitalization number is built from
- Workforce Intelligence
Why most tools don’t attribute AI coding spend to the work it produced
- Workforce Intelligence
Connect every AI dollar to the Jira work it funds – giving engineering and finance leaders one defensible view of what AI costs and what it returns.
What is AI costing us, and what is it delivering? To get answers, we need more than a bill. We need an itemized receipt.
- Workforce Intelligence
The tools worth your team's time this year, grouped by the job each one does
- Workforce Intelligence
How software engineering intelligence connects Jira, Git, and time logs into one dataset
- Workforce Intelligence
A comparison based on key metrics, from delivery speed to R&D capitalization
- Workforce Intelligence
How developer experience, DORA, and AI cost measurement tools differ, and which one fits the problem you're solving
- Workforce Intelligence