Time tracking measures hours. Multi-moment analysis measures work.
Many companies believe they have working time under control. There is a time tracking system, people clock in, hours are booked to projects, and reports are available. The numbers are there. And still nobody can reliably say how much time actually goes into coordination, searching, waiting, duplicate work or administrative routines.
The reason is simple: time tracking measures when people work and where hours are booked. It does not precisely show what people actually work on during the day. This is where multi-moment analysis comes in.
Two tools, two completely different questions
Time tracking mainly answers the question: how long was someone there, and which project, account or cost center should the time be booked to? That matters for payroll, project controlling and cost allocation.
A multi-moment analysis or work sampling study asks a different question: how is working time distributed across specific activities? How large is the share of core work, administration, queries, waiting time, information search or idle time? One method delivers hour totals, the other delivers an activity distribution. Having a time tracking system therefore does not mean having an answer to where efficiency is actually lost.
Self-booked hours lie politely
Whoever distributes weekly hours across projects on Friday afternoon reconstructs from memory. The short interruption on Tuesday, the three searches on Wednesday, the twenty minutes waiting for approval: all of it disappears into the largest position one happens to remember.
That is not bad intent, it is human. A work sampling analysis avoids this problem because it asks at random moments: what are you doing right now? The answer takes only seconds and requires no memory log. From many snapshots emerges a statistically reliable picture of the actual distribution of work.
Observing without an observer
The classic alternative would be a time study: someone stands nearby with a stopwatch and clipboard and takes notes. That is expensive, only works for a few people over short periods, and often changes the behaviour of those being observed. Nobody works completely normally while someone is writing everything down.
The multimoment study relies on self-observation instead: anonymous, running over several weeks and, if needed, involving many participants at the same time. The effort per person stays minimal, the workflow is barely disturbed, and because nobody is standing next to the participant, the data stays closer to reality.
Not either-or, but before and after
Time tracking does not have to go away. It continues to serve its purpose for payroll, project billing and compliance. But whoever wants to improve processes, size roles correctly, reduce administrative overhead or build a meaningful activity analysis needs a different data basis.
A multi-moment study over a few weeks shows in black and white how work is really distributed. After that, measures can be targeted precisely: not based on gut feeling, but on a transparent activity structure.
If you want to know how working time is actually distributed in your company, talk to us. We will show you in a short demo how a multi-moment analysis works and what insights can be available after just a few weeks.