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How a global insights firm stopped leaking ₹169L a month

The idle cost was rising every quarter, and one team was already in freefall. The org average somehow absorbed all of it, and reported stability. Flowace showed what was actually happening underneath

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₹169L Monthly idle cost surfaced, yet never quantified before
57.7pp Productivity spread across 22 teams, invisible inside the org average
9 months Of rising idle time discovered
750 Users across 22 teams

The client is a global data and insights firm serving Fortune 500 clients, operating across multiple offices in India and the US. At this scale, idle time compounds until the cost is structural, and the org average is the last thing telling you so.

Nine months of rising idle, and not one alert was triggered

The client had 22 delivery teams and one number summarising all of them. The org average moved within a narrow band, never specific enough to act on. Underneath it, idle time was rising: 24.1% in Q1, 25.1% in Q2, 30.1% in Q3. By Q3, ₹169L a month was leaving the business in unproductive hours.

The team-level reality was more alarming. A 57.7 percentage point spread separated the best-performing team from the worst.

The structural problem was the absence of an early warning system. There was no mechanism to catch drift at the first deviation, no threshold alert or signal that distinguished a one-period dip from a directional decline.

Consequence 01

₹169L leaving every month silently

Idle cost rose from ₹117L to ₹169L between Q1 and Q3, a ₹52L monthly increase that accumulated with no mechanism to detect, attribute, or address it.

Consequence 02

22 teams, one average, zero team visibility

A 57.7pp spread between best and worst teams was completely invisible inside the org average. The best team ran at 87.7% productive.

Consequence 03

Major client catalogue declined every quarter 

67% → 66% → 59% productivity. Idle rising 28% → 29% → 36%. Every quarter worse than the last, with no alert, no flag, and no intervention triggered.

We had 22 teams performing very differently. We had one number telling us how we were doing. Those two things were never going to produce the right answer.

Delivery Head

Flowace made the quiet climb impossible to ignore

Three things changed when Netscribes finally had visibility at the team level.

Benchmark 87.7%

The best-performing team's benchmark after Flowace

Before Flowace, no team knew where it stood relative to any other. Major client’s QC's 87.7% productive rate, with just 10.2% idle, was invisible inside the org average, surfaced by Flowace.

Recovery lever ₹5.63L

recovered per month for every 1% idle reduction

At 30.1% idle and ₹169L/month in unproductive cost, the recovery lever is precise: 6pp back to Q1 baseline returns ₹52L every month. Full recovery to best-team standard returns ₹111L. Flowace made both targets measurable for the first time.

Idle cost ₹169L/month

Unowned before, made attributable

Now every rupee is attributable by team, by person, and by period, turning a number that once disappeared into averages into a line item leadership can act on.

Key Takeaways

Netscribes had a resolution problem. Twenty-two teams performing across a 57.7 percentage point spread, idle rising every quarter, none of it was visible in the number leadership was reviewing. Flowace changed the granularity at which the operation could be seen, and at the scale of a Fortune 500 supplier with ₹119Cr in revenue and 22 client delivery teams, that’s the difference between catching a problem and inheriting one.

How many of your teams are declining inside your average?

Most data and insights firms find a 40–60pp performance spread across teams in their first Flowace report.

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