Data & governance · TTI

Time to insight

How long it takes to go from someone asking a question to an answer people are willing to act on.

elapsed time from a business question being asked to a trusted answer Unit days Usual grain per request, tracked monthly

01 What it is

Why anyone looks at this number

In one sentence

How long it takes to go from someone asking a question to an answer people are willing to act on.

It is the measure the business actually feels. Platform investment that does not shorten it has not yet delivered anything the business can see.

02 The formula

How it is worked out

time-to-insightdefinition
Time to insight = elapsed time from a business question being asked to a trusted answer

grain  : per request, tracked monthly
unit   : days
source : Request tracking, joined to delivery records

Measure to the accepted answer, not the first draft. Counting the first response hides the rework cycle, which is usually most of the elapsed time.

03 Worked example

The same number, with real inputs

Inputs
Median days to accepted answer11
Median after governed metrics were in place3
Calculation11 → 3 days
Result−73%

Most of the eight days saved was not analysis. It was finding the data and agreeing what the number meant — which is exactly what governance removes.

04 What moves it

Four things that actually change this number

Driver 01

Data availability

Whether the data is already connected and governed.

Driver 02

Definition disputes

Time lost agreeing what the metric means, before any analysis.

Driver 03

Access and permissions

Waiting for approval is elapsed time like any other.

Driver 04

Rework

Every round of "that is not what I meant" doubles the cycle.

05 Where the number lives

The system, the record and the fields

System of recordKey recordFields you need
Request tracking, joined to delivery recordsRequest / Ticket joined to Dataset and Report raised_date, first_answer_date, accepted_date, rework_count, requester

Measure to the accepted answer, not the first draft. Counting the first response hides the rework cycle, which is usually most of the elapsed time.

06 How it goes wrong

Three ways this metric misleads people

Mistake

Measuring analyst effort instead

Hours worked ignores the waiting, which is most of the elapsed time.

Fix: Measure calendar time from question to accepted answer.
Mistake

Excluding rejected answers

Rework is invisible and the metric looks healthy.

Fix: Count rework rounds explicitly.
Mistake

Only tracking formal requests

The questions that never get asked because they take too long are the real cost.

Fix: Sample the informal ones too, through the business rather than the ticket queue.

08 Questions

Frequently asked

Is this a data team metric or a business metric?

A business metric. It measures the whole path from question to decision, most of which is not analysis at all.

How do we baseline it?

Take the last twenty real questions, and time each one from when it was asked to when the answer was accepted. The distribution is usually more revealing than the median.

One definition, everywhere it is used

SCIKIQ stores this metric once and serves it to every dashboard, board pack and agent that asks.

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