2
KH
Verdict · three-score model

Judgment detail

One signal, fully reasoned: what goal it was meant to move, how good the work is on its own terms, and whether it was the highest-leverage use of capacity.

Busywork
Kimaitime entryconfidence 83% 12h ago

Status reporting + standup prep

5.5h this week compiling status spreadsheets and prepping standups across 3 clients. Recurring, manual, copy-paste from Jira and GitLab.

MGMariam Gamal· AI Engineer
duration h: 5.5project: Internalactivity: Reporting

What the engine inferred

Inferred role
AI Engineer
Inferred goal
none yet

The three scores

never a single number
38
Output value
22
Goal alignment
20
Leverage fit
38
Output
22
Alignment
20
Leverage

Dimension breakdown

how output value was earned
Correctness50

Reports are accurate — but assembled by hand from Jira + GitLab.

Craft & clarity30

5.5h/week of copy-paste across 3 clients. Recurring.

Reliability impact15

Pure overhead; produces no durable artifact.

Judgment trace

question → finding
  1. 1

    What goal was this meant to move?

    Nothing weighted — it's coordination overhead, the kind FlowIQ itself should erase.

  2. 2

    How good is the work on its own terms?

    It's careful, but the task shouldn't exist manually.

  3. 3

    Was this the highest-leverage use of capacity?

    No. 5.5h/week of a skilled engineer compiling status is the clearest waste on the board.

Narrative

This is the single clearest capacity leak in the unit: 5.5h every week of an engineer hand-compiling status across three clients. It ladders to no goal and produces nothing durable. Automating it (the legacy-reporting goal exists precisely for this) returns most of a workday per week.

Action ladder

how far the engine will go
Surface
Recommend
Prepare
Act
Recommended action

Auto-generate the weekly status from Jira + GitLab and kill the manual macro. Reclaims ~5h/week — reinvest in FLOW-204.

Execute

Executing runs the recommended action; the engine logs the outcome against the goal.