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AI agent for scrum masters

Mid-Sprint Goal Health Agent

Spot a failing sprint goal while there is still time to act

Mid-Sprint Goal Health Agent: what goes in, what the agent does and what you get

What it does

Halfway through the sprint, two items are blocked, one is aging and nobody has said the goal is at risk. Each day this agent reads the board and finds blocked items, aging items, work not started and scope added since planning. It estimates the chance that the sprint goal is met, based on remaining work against days left and the past pace of the team. When the chance is low it proposes scope options: swap an item, split a story, pull in help or drop a lower-priority one. The next day it rechecks whether the blocks cleared and whether the estimate improved. The team decides on any scope change. Edge case: a blocked item is waiting on a decision only the product owner can make, so the agent sends it to them directly.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueNoNo 1 STARTS WHEN Daily check from mid-sprint 2 USES A TOOL Read the board and the scope added since planning 3 DOES Find blocked, aging and not-started goal items 4 DOES Estimate the chance the goal is met 5 CHECKS THE RESULT Is the chance above 70%? If not: build scope options with the chance for each.Back to step 2. 6 DOES Route blockers to the person who can clear them 7 YOU APPROVE Team decides on any scope change 8 USES A TOOL Update the board only as the team directs 9 USES A TOOL Recheck the next day 10 CHECKS THE RESULT Did the blocks clear and the estimate improve? If not: offer the next option and escalate to theproduct owner. Back to step 4. 11 RESULT Daily goal health note
Read the steps as a list
  1. Daily check from mid-sprint
  2. Read the board and the scope added since planning
  3. Find blocked, aging and not-started goal items
  4. Estimate the chance the goal is met
  5. Is the chance above 70%?If not: build scope options with the chance for each. Back to step 2.
  6. Route blockers to the person who can clear them
  7. Team decides on any scope changeThe agent waits here for your OK.
  8. Update the board only as the team directs
  9. Recheck the next day
  10. Did the blocks clear and the estimate improve?If not: offer the next option and escalate to the product owner. Back to step 4.
  11. Daily goal health note

How it decides

It compares remaining goal work with the capacity left and the team's usual pace and flags the goal when the chance of delivery is below the limit.

  • Flag a blocked item after 1 day
  • Flag an item with no progress for 3 days
  • Alert when the chance of meeting the goal falls under 70%
  • Consider the goal at risk when over 20% of scope was added after planning

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Alert level (default 70%)
  • Block and aging limits
  • Start day of checks
  • Chat channel
  • Capacity source

What keeps you in control

It always asks you first

  • Team decides on scope changes
  • Scrum master approves messages to stakeholders

Hard limits

  • Never change the board without the team
  • Never share the estimate outside the team without the scrum master

It stops when

  • Done: the sprint ends or the goal is on track
  • Stop: the team replans and the agent resets

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensOn day 6 of 10, the goal needed 5 items and 2 were blocked: a design decision and a test environment. Work left was 21 points with 4 days and a pace of 5 points a day, a 38% chance. The agent offered 3 options and sent the design question to the product owner. The next day the design block cleared, but the chance only reached 55%, so the check failed. The team dropped one item.

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