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Illustrative scenarioEchoTrack · delivery status

Delivery status answered out loud in seconds, so stand-ups get shorter.

Software team · 40 engineers · Example scenario · not a named client

0edits to the board (read-only)Reported
5everyday questions answeredReported
−50%stand-up timeTargeted
01
The problem

Managers of a 40-engineer team click through Azure DevOps boards before every stand-up to find status, owners and blockers.

£What it was costing them

Manager time before every meeting, and blockers that cost days.

02
The existing workflow

How the work was done, and where it broke.

✕

Status is found by clicking through boards.

✕

Blockers surface late.

✕

Stand-ups run long, and status pings interrupt engineers.

03
The solution

Read-only. It answers questions about the work and never changes it.

1Connect read-only

EchoTrack reads Azure DevOps work items and changes nothing.

2Ask in plain language

Questions by voice or text: what's blocked, who owns it, what changed.

3Answer in seconds

Short, plain answers from the live board.

4Summarise

Ready-made summaries for stand-up and status reports.

04
Architecture

From input to outcome.

1

Inputs

  • Questions by voice or text
2

Read-only access

  • Azure DevOps work items
3

AI layer

  • Plain-language answers and summaries
4

Outcome

  • Status, owners and blockers in seconds
  • Nothing on the board is changed
05
Integrations

Works with the systems already in place.

⇄

Azure DevOps (read-only)

06
Business value

What changed for the business.

Read-only by designReported

The board is never edited.

Status in secondsReported

Answers to the everyday questions, out loud.

Shorter stand-upsTargeted

Projected to halve stand-up time.

07
The evidence

Shown on real work.

Before stand-up, a manager asks: what's blocked this sprint? EchoTrack lists the blocked items, their owners and how long they've been stuck.
About the evidence

Example scenario. Read-only access and the question set are product features; time savings are projections.

How we label results

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