USE CASE
Workforce analytics
Leadership lacks a real picture of utilisation and capacity, so staffing and pricing decisions get made on assumptions that nobody has checked in a year.
Deciding on numbers nobody measured
Ask a services firm its utilisation rate and you will usually get a target rather than a measurement. That figure then quietly underpins everything: what a bill rate has to be to make margin, whether there is capacity for the next engagement, whether a team is stretched or idle. Getting it wrong compounds through every one of those decisions.
The obstacle is not analysis, it is inputs. Utilisation computed from reconstructed timesheets inherits their error, and a number leadership half-trusts is a number that gets overridden by whoever argues most confidently in the room.
How the numbers get built
- 01
Approved sessions are the raw material
Reports derive from hours that were recorded as work happened and reviewed by someone close to it — not from a month-end reconstruction.
- 02
Capacity comes from configured rules
Working days, shifts, holidays and approved leave define available capacity, so utilisation has an honest denominator rather than a notional one.
- 03
Views roll up by person, team and client
The same data answers questions at different altitudes: who is over-allocated, which teams are stretched, which clients consume disproportionate effort.
- 04
Trends matter more than snapshots
A falling billable share against a steady workload is an early signal of scope creep or unpriced support — visible as a line, not a one-off number.
What changes
- Utilisation you can defend, because the inputs were approved when they were fresh.
- Capacity and bench visible in days rather than discovered at month-end.
- Per-client effort visible, which is what makes an unprofitable relationship arguable with data.
- Rate and cost data restricted to finance and owners rather than exposed across the team.
What this does not do
These are workforce and utilisation reports, not business intelligence over your whole company, and Workclave holds no revenue, pipeline or cost ledger of its own. It also does not rank individuals on productivity — the data describes where effort went, and using it to build a leaderboard would be both a misreading and, in our view, a bad idea.
Workforce analytics — common questions
What utilisation target should we set?
70–85% is typical for delivery roles in Indian IT services and agencies. Set it per role rather than company-wide, and treat sustained figures above 90% as a warning rather than an achievement — there is no room left for estimation error or improvement work.
Can we see this per client as well as per person?
Yes. Since every session carries a project and client, effort rolls up along either axis — which is how a client with a friendly rate card but sprawling scope becomes visible.
Who can see rate and cost information?
Rate data is restricted to finance and owners. Utilisation views can be shared more widely without exposing what anyone earns or bills.
Comparing workforce analytics tools?
A 20-person team pays ₹3,980/mo on Workclave. Side by side with:
Related
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