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Team Overview tab — what each metric tells you

Field guide to the per-member execution table on the Performance Delivery dashboard.

The Team Overview tab is a per-member execution table. Each row is a teammate; each column is a metric you choose. This article explains what each column means and how to read the table without micromanaging.


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What the table is for


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  • Spot workload imbalance — who is overloaded and who has headroom.

  • Investigate cycle-time outliers at the individual level.

  • Catch process-mapping issues that only show up per member, such as one person's items always skipping a workflow state.


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It is not a performance ranking. Reading it that way produces noisy, unfair conclusions and damages trust.


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The columns


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You pick which of these to show. They fall into two families.


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Flow — how work moves through the board


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Column

What it holds

Throughput

items completed in the period

WIP

items in flight — a snapshot, not an average

Assigned Tasks

items assigned, regardless of state

Avg Member Cycle Time

average cycle time of items this person completed

Avg Member WIP Age

how long this person's in-flight items have been open

Waiting Time

hours spent in statuses mapped to the Waiting category

Done Active Time

active time accrued by completed items

Working Time

elapsed time across active states

Active Days

days this person did enough to count — see below

Estimated Hours

sum of estimates on completed items

Estimated vs Executed

estimate against actual, as a percentage

Invested Hours

hours logged in the period

Story Points

sum of story points on completed items

Sprint Efficiency

completed work as a share of committed work

Reworked Tasks

items that went backwards in the workflow


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Code — what happens in the repositories


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Column

What it holds

PRs Created

pull requests this person opened

Reviews

review interactions on other people's pull requests

Commits

commits authored

PR Comments

comments left on pull requests

Avg Member Time to Merge

from opening their own pull request to merging it

Avg Member Review Time

from someone else's pull request opening to this person's first action on it

Avg Member TT First Approval

time to the first approval on their pull requests


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Every column also shows its change against the preceding period.


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Two columns that don't mean what they look like


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Active Days is not "days they touched something". A day counts only when the person accumulated at least two recorded actions, and the actions come from several places — commits, pull requests, reviews, task status changes, logged hours and recorded interactions such as chat and calendar. Somebody who made one commit on a Tuesday and nothing else has not had an active day. The threshold is configurable by the environment, so check with your administrator before reading a specific number as gospel.


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Reviews counts interactions, not reviews. Each comment on a pull request counts one, a commit pushed to someone else's pull request counts one, and only the first approval counts. Ten comments on one pull request read as ten. So a talkative reviewer outranks a thorough one, and somebody who only approves looks nearly inactive.


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How to read the table without overreacting


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  1. Compare each member to the team's median, not to each other.

  2. Always check the work mix. Different role mixes — engineering versus design, infrastructure versus product — drive different numbers.

  3. Investigate, don't accuse. A high WIP age usually means a stuck item, not an unproductive person.

  4. When a number looks wrong, suspect the board status mapping first. Most of the flow columns are derived from status categories, so an unmapped status moves several columns at once.


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Related articles


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  • Performance Delivery dashboard

  • Throughput

  • Cycle Time

  • Work in Progress (WIP)

  • Waiting Time

  • Review latency

  • Review participation

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