Precision Is Not Accuracy
A tight group of shots far from the bullseye is precise and inaccurate. Most workforce measurement looks exactly like that. For a related reference, see further details.
Hours are counted to the minute. Badge swipes are timestamped. Activity scores update continuously. And the things that predict whether somebody stays and does good work are measured rarely or not at all.
What gets measured precisely
Presence. Days in the office, hours logged, times of arrival.
Activity. Keystrokes, application time, idle detection, message counts.
Output volume. Tickets closed, calls made, lines shipped.
All three are easy to capture, produce clean numbers, and update without anybody deciding anything. That is why they exist, not because anybody established they predict something.
What predicts the outcome
Manager quality. Perceptyx research puts the increase in turnover risk from poor management at four times, and reports that 24% of employees say they work for the worst manager they have had — a figure unchanged since 2023. (Vendor research; the direction is widely corroborated, the exact multiple is theirs.)
Whether people can speak up. Psychological safety in the specific sense, not general morale.
Whether the work has visible trajectory, which differs by career stage.
None of these appears on a productivity dashboard, and all three are measurable — just not automatically.
The evidence on presence specifically
Gallup reports that among remote-capable US employees, 53% work hybrid, 27% fully remote and 20% fully on-site.
And strict return-to-office mandates are associated with roughly 14% higher attrition, concentrated among senior staff. (Industry analysis; treat the figure as indicative.)
Presence is measured most precisely and predicts least. That is the whole argument of this section in three numbers.
Why the pattern persists
Because automatic beats informative. A number that arrives without effort will be used; one that requires a conversation will not.
Because it is defensible. "Attendance was down" is a fact somebody can point at. "The manager is not good" is a judgement somebody has to make and own.
And because the tooling supplies it. Software measures what is easy to instrument, and the availability of a metric becomes the reason for it.
What to do instead
Keep the precise numbers and stop treating them as the answer. Attendance data is useful for scheduling and useless for performance.
Add the slow measurements. Turnover by manager, exit reasons recorded consistently, whether people raise problems before they become resignations.
And check the correlation yourself. Your own turnover data will tell you which of your metrics moves with people leaving, and it is frequently none of the ones on the dashboard.
The short version
- Precision without accuracy: presence, activity and output volume are measured continuously and predict little
- Manager quality, psychological safety and visible trajectory predict retention and appear on no dashboard
- A Stanford study in Nature found no productivity drop under hybrid work and 33% lower turnover — the strongest source here
- Strict return-to-office mandates are associated with about 14% higher attrition, concentrated among senior staff
- The pattern persists because automatic numbers beat informative ones, they are defensible, and tooling supplies them
- Keep the precise numbers for scheduling, add slow measurements, and check which of your metrics actually moves with departures
For additional context on this topic, see Fstoppers.