Use cases
Aurora Coach runs your team's continuous improvement loop. It senses through Coaching Sessions and free-text check-ins, analyzes the signal across six domains of team effectiveness, and recommends concrete next steps; the team refines and commits, does the work, and the next period re-evaluates. The AI never decides. This is a non-exhaustive showcase of where teams apply that loop. Each page takes one problem, some brand new and some as old as standups, and makes it operational: what to measure, what to try, and how to know it worked.
Comprehension debt
Your team merges more code than anyone on it fully understands. What comprehension debt is, how to measure it through review proxies, and three example commitments to bring to your team.
Read the playbookCode review process for AI-generated code
Generation got faster; review capacity did not. Why AI-generated code breaks the review process, and three example review-process commitments a team could adapt.
Read the playbookSquad health check (Spotify model)
The complete Spotify squad health check, free on the page: all 11 dimensions with strong and weak descriptions, workshop instructions, and a copy button. Plus the improvement loop the model has always been missing between workshops.
Read the playbookMeasuring psychological safety
What Edmondson's 7 survey items measure, with the 7-point scale and scoring, free on the page with one-click copy. Plus the loop that turns a one-off reading into a visible trend.
Read the playbookRetrospective action items that stick
Why retro action items keep resurfacing, and the loop that turns them into commitments tracked through periods. Free on the page: 9 before-and-after rewrites and the copyable 6-field template.
Read the playbookDeveloper experience survey
A ready-to-run DevEx survey grounded in SPACE and the DevEx framework, plus the improvement loop that keeps answers honest after the results land. Free on the page: the 16-question survey with one-click copy.
Read the playbookImproving DORA metrics
Your dashboard says cycle time is 4 days; the loop changes the practices behind the four DORA metrics. Free on the page: 12 example experiments, one line each, three per metric.
Read the playbookPostmortem follow-through
Your postmortems produce good action items that die in the backlog until the incident recurs. Free on the page: the copyable action-item template and the follow-through checklist for the half of the process nobody solved.
Read the playbookEight problems, one loop. Aurora Coach senses through Coaching Sessions and check-ins, analyzes, and recommends; the team refines, commits, and executes; the next period re-evaluates, with every team, every period. That loop is what continuous improvement software is for.
How does Aurora Coach help with AI-era problems specifically?
The problems are new; the method is not. Comprehension debt and review bottlenecks respond to the same loop as any ways-of-working problem: sense what is actually happening, analyze it, commit to a small change, and re-evaluate next period. Aurora Coach runs that loop with every team, every period; each use case page shows what it looks like applied to one problem.
Do I need Aurora Coach to run these experiments?
No. Each page gives you something you can run with a whiteboard and a spreadsheet. What Aurora Coach adds is follow-through: check-ins keep the signal flowing between sessions, commitments stay owned by the team and tracked through periods, and the next period’s analysis shows whether the change held, including the periods when delivery pressure is high.
Every playbook above is free to use as it stands; when you want the numbers, MapROI turns your team setup into a tailored ROI analysis, free, no signup, in about 5 minutes.