It reaches every part of the work
How work is scoped, what context it carries, how it is described, what checks it gets. All of it is read, which is why coaching is not one more feature alongside the others.
Coach every engineer, and the whole org lifts.
Working well with AI is a skill, and right now it spreads by proximity to whoever already has it. Personal Coaching gives every engineer specific, evidence-backed guidance from their own work each week — and gives you the first honest answer to whether your organisation is actually getting better at this.
Coaching · this week
Engineers
11
Improved
68%
Org median
+14pts
Data82%
Platform74%
Payments48%
Share of each team at or above the org median
What changes for each engineer.
Today
- Skill spreads by who happens to sit near someone good at it
- 1:1s run on impressions, because there is nothing specific to point at
- No way to tell whether the org is improving or simply busier
With Tetriz
- Every engineer gets a weekly read on their own work, with named fixes
- Managers get evidence to coach on rather than a feeling
- Capability improvement you can show, per engineer, team and org
How one engineer getting better turns into an org that is better.
Coaching reads every part of how AI work happens, which is why it is less a section of the platform than a thread running through all of it.
Start with the person doing the work
Guidance that arrives at a manager first is guidance the engineer becomes defensive about.
What Tetriz does here
- A weekly read on their own week
What worked, where context was missing, and the pattern that would have closed the gap.
- They see it before anyone else does
Self-correction is faster and cheaper than being told, and it keeps the signal describing real work.
Personal retro
Clarity8.2
Specificity7.1
Context6.4
This engineer, this week
Make it specific enough to act on
Generic advice about working with AI is freely available and changes nothing, because it is not about your codebase.
What Tetriz does here
- Drawn from their own sessions
The actual habits that shaped their results, named directly, with the work they came from.
- One thing to change this week
Not a profile of weaknesses — a single named fix, which is the only kind anyone acts on.
Habits to fix
| Habit | Cost | Fix |
|---|---|---|
| No acceptance criteria | High | Add expected behaviour |
| Context re-supplied | Medium | Store as a convention |
Give managers something real to coach on
Most engineering managers have no data on this at all, so support goes to whoever asks loudest rather than whoever needs it.
What Tetriz does here
- Who is getting strong outcomes, and who needs support
A coaching input for a 1:1 rather than a verdict, with the evidence behind it.
- Traceable to the work
Every score points back to a session, so the conversation is about the work rather than the number.
Team comparison
Data82%
Platform74%
Payments48%
At or above org median
Show the org actually moving
An AI programme without a capability number is a story. With one it is a result you can defend.
What Tetriz does here
- The distribution and its direction
How much of each team sits at or above the org median, and which way that moved this quarter.
- Tied to outcomes you already report
It shows up in the rework and cost figures the rest of the platform produces.
Org trend
Median
+14pts
Above median
68%
Quarter
Q3
Why improving people is the part that compounds.
The other layers change what an engineer is handed. This one changes what they do with it.
The engineer improves before anyone reports on it
Guidance goes to the person who can act on it first. That is what makes it coaching rather than reporting, and it is why the signal stays honest.
And a raised floor keeps paying
Better tooling has to be bought again next year. An engineer who got better at directing agents stays better, and takes it to the next team they join.
Questions leaders ask about Personal Coaching.
The engineer, before anyone else. Their manager and organisation leadership get it after that, because coaching only works when the person being coached is not the last to hear about it.
It rates the practice rather than the person, and it always names something specific to change. What you do with it is your decision; what it gives you is evidence instead of impressions.
Every score traces back to their own session record, so the disagreement is about the work and can be settled by looking at it.
The distribution and its direction. If more of a team sits at or above the org median than last quarter, capability moved — and it shows in the rework and cost figures reported elsewhere.
No. It reads how work is scoped, what context it carried, how it was asked for and what checked it, which is why it applies across every part of AI work rather than one of them.