Infrastructure for continuous agent improvement

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Acme · Production
▲Agent harness optimizationSeen Aug 12 – Aug 28

The agent misplaces components in 71% of layout calls — the tool sends no units

High confidence1,240 sessions$12K conversion
◆Product suggestionSeen Aug 01 – Aug 29

Translation requests grew 5× in a month — nothing in the product does it

Medium confidence1,140 sessions$50K conversion
▲AI cost and valueSeen Aug 18 – Aug 29

72% of token spend goes to free users active for over three months

High confidence1,847 users$34K conversion
●Agents as usersSeen Aug 10 – Aug 29

Agents chain three CLI commands into one you never built — a third of them fail

High confidence40 accounts$22K churn at risk
▲Retention and churnSeen Jul 30 – Aug 29

Chat discovery in week 1 lifts 30-day retention by 14% — onboarding never mentions it

High confidence2,100 users$50K churn at risk
●Cross-surface frictionSeen Aug 15 – Aug 29

Users ask the chat to “mark all as read” — when the UI option is right there

High confidence340 users$18K churn at risk
●Cross-surface frictionSeen Aug 15 – Aug 29

Users ask the chat to “mark all as read” — when the UI option is right there

High confidence340 users$18K churn at risk
TL;DR
  • ►

    340 of the 1,210 users who opened the inbox asked chat instead — even though the UI was visible in every session.

  • ►

    This detour costs 15 extra seconds — and 20% of times cancel is hit before completion.

  • ►

    They are not new users — 71% had been active for over a month, so they are familiar with the rest of the product. Just not this layout.

  • ►

    Chat answers correctly every time — the request succeeds, which is why nothing in your error rates or support volume moves.

◆

What to do about it

1

Put the button where users are looking.

Users open chat from the lower right and scan left. The button sits top-left, outside that path.

Prototype ›
2

Let chat teach the behavior.

When chat handles it, have it also point out the UI. The detour then costs 15 seconds once instead of every time.

Explore fix ›
Who took the detour
New users12%
Power users47%
Account champions41%
Explore ›
When the cancel happens
Before any result52%
Part-way down the list31%
At the confirm step17%
Explore ›

Compound what you learn in production.

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Where your agent fails without erroringWhich users to go talk toWhere users see most frictionWhich changes paid off in productionWhat agent behavior predicts user churn

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