Use cases
Nineteen problems engineering teams bring to Aurora Coach, one page each. Every page gives you something free to run with your team today, then shows what the improvement loop does with it: what to measure, what to try, and how to know it worked.
Start here: the free instruments
The three most-used pages. Each is a tool you can run with your team today.
When most of the code is written with agents
New problems, same loop: the team layer decides whether the agents pay off.
The AI adoption gap
Free6-question adoption pulse and a 5-point working agreement
The verification gap
FreeThe bad-vs-sad escape tracker and a verification working agreement
AI skill atrophy
Free6-point team learning agreement and 4 learning-pulse questions
Code review for AI-generated code
FreeThree review-process commitments a team can adapt
Comprehension debt
FreeProxy measures that make the gap visible, three commitments
Developer loneliness
Free5 connection rituals and the 4 check-in questions
Delivery and process
The rituals every team already runs, and why they stop producing change.
Improving DORA metrics
Free12 example experiments, three per metric
Retro action items that stick
Free9 before-and-after rewrites and the 6-field template
Postmortem follow-through
FreeThe action-item template and the follow-through checklist
Sprints that keep slipping
FreeSix causes of chronic slip and a 15-minute planning retro
Output vs outcome
FreeSix-question outcome audit and an outcome-first definition of done
Nobody has talked to a customer
FreeSix questions that reveal a team building blind, a discovery cadence
People and organization
What the org chart and the rota cannot see until it is expensive.
Senior engineer attrition
Free6 early-warning signals and the cost-of-one-exit worksheet
On-call burnout and alert fatigue
FreeSix-question rotation pulse and an alert noise audit
Is the platform team working?
FreeSix-question adoption pulse and four wrong-problem signals
Aligning engineering with strategy
FreeSix questions before planning and the response record
Many 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. The constant across them: the work is increasingly done alone with agents, and the problems are still solved as a team.
Do I need Aurora Coach to run these experiments?
No. Each page gives you something you can run with a whiteboard and a spreadsheet. Aurora Coach turns the one-off exercise into a working system: the AI gathers context from the whole team every period, analyzes it across six domains of team effectiveness together with outside research, and recommends concrete next steps. The team decides, commitments stay owned by the team, 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. To see what the loop could do for your own team, use Map your ROI below: it asks a few short questions about your setup, then gives you a quick read on what Aurora Coach could change for you. Free, no signup, about two minutes.