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Review Azure DevOps team capacity against load
Report

Spot overloaded team members before the sprint slips

For project managers who want each person's capacity compared with their Azure DevOps workload, by asking their AI assistant.

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Review Azure DevOps team capacity against load
Review the Platform team's capacity against assigned work for this sprint in Contoso Platform.
3 of 7 team members carry more work than their capacity suggests. - Priya Shah: 9 open items, capacity 6 hours a day - Sam Patel: 8 open items, capacity 4 hours a day - Alex Kim: 2 open items, capacity 6 hours a day - Hour estimates are not available, so this compares item counts Want the full table for all 7?
Azure DevOps
Sample figures. Your results come from your own account.
azure-devops-get-iteration
azure-devops-get-team-member
azure-devops-get-capacity
azure-devops-get-work-item

On this page

The problem

The problem

The prompt

Who it's for

How it works

Tools used

Connector

Azure DevOps

Azure DevOps
Run it on your own Azure DevOps data.

Connect Azure DevOps, pick your AI tool and paste the prompt.

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The problem

Overload is spotted only after the sprint slips

Overloaded team members are spotted only after the sprint slips. Comparing each person's capacity with the work assigned to them means reading the capacity page and the board separately.

Without PopdockAI

  • Open the capacity page for the iteration
  • Count each person's assigned work on the board
  • Compare the two by hand
  • Notice the overload when the sprint slips

With PopdockAI

  • Each member's capacity for the current iteration is read
  • Open work items assigned to each member are counted
  • The heaviest loads are shown first
  • It notes that counts are used, not hours, and changes nothing

The prompt

Use this prompt

Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.

Prompt
**Objective:** Compare capacity with assigned work for team `{team}` in project `{project}` for the current iteration.

**Step 1: Find the iteration and members**

Call `azure-devops-get-iteration` with project `{project}`, team `{team}` and time-frame `current`, then `azure-devops-get-team-member` with team-name `{team}` and project-name `{project}`.

**Step 2: Read capacity**

Call `azure-devops-get-capacity` with iteration-id, team `{team}` and project `{project}`. Compute available days as working days in the iteration minus total-days-off, and hours as total-capacity-per-day times that.

**Step 3: Read load**

Call `azure-devops-get-work-item` with project `{project}` and assigned-to for each member; keep items in the current iteration-path that are not done. Count items and priority 1 items per person.

**Step 4: Report**

A per-person table of available days, open items and priority 1 items, flagging anyone with no capacity but assigned work, or far more items than peers, and a closing note on unassigned items in the iteration.

**Rules & Guidelines:**

* This prompt is read-only. Call only the `azure-devops-get-*` read tools named above; never create, update, comment on, approve, queue, abort or delete anything in Azure DevOps.
* The tools only return data the connected account can see; never infer data from projects outside that access.
* Item counts are a proxy; remaining-work hours are not available, so say so.

**Validation:**

* If no capacity is configured for the iteration, report that and stop after Step 2.

Who it's for

One answer, three teams that use it

Engineering managers

See who is carrying too much

A per person comparison with the heaviest loads first shows where to move work.

Who on the Mobile team in Fabrikam Mobile has more assigned work than capacity this sprint?

Scrum masters

Raise overload in planning

Bring the capacity picture to planning so the team commits to what it can deliver.

Compare capacity with open work for the Data team in Contoso Platform for the current iteration.

Delivery leads

Check teams before a deadline

Spot overloaded people across a team before a delivery date is at risk.

Review the Checkout team's capacity against load in Northwind Commerce.

How it works

What PopdockAI does when you ask

You name a project and team, and your AI assistant compares capacity with assigned work. It only reads and changes nothing.

01

Ask

You name the project and team.

Your AI tool

02

Read

It reads each member's capacity for the current iteration.

azure-devops-get-iteration
azure-devops-get-team-member
azure-devops-get-capacity

03

Count

It counts the open work items assigned to each member.

azure-devops-get-work-item

04

Report

You get a per-person comparison with the heaviest loads first.

Your AI tool

What PopdockAI provides

The tools behind the answer

Ready made tools for Azure DevOps and one secure connection to your AI tool. No code, no exports.

get-data

azure-devops-get-iteration

Returns iterations records from the Azure DevOps connector. Use it to read and filter iterations across your Azure DevOps projects.
get-data

azure-devops-get-team-member

Returns team members records from the Azure DevOps connector. Use it to read and filter team members across your Azure DevOps projects.
get-data

azure-devops-get-capacity

Returns capacities records from the Azure DevOps connector. Use it to read and filter capacities across your Azure DevOps projects.
get-data

azure-devops-get-work-item

Returns work items records from the Azure DevOps connector. Use it to read and filter work items across your Azure DevOps projects.
Read only.Nothing in Azure DevOps Changes

This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.

How Popdock AI secures your data

The outcome

Rebalance work while there is still time

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Related use cases

More ways to put this data to work

All Ramp use cases

One prompt template with infinite possibilities.

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