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Delivery Intelligence by IMIRT

IMIRT.work

2 installs, since April 28, 2026.   2 installs/month.   Updated April 9, 2026.

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Monte Carlo delivery forecasting from your board data

Delivery Intelligence by IMIRT uses Monte Carlo simulation on your actual monday.com board history to give you probabilistic delivery forecasts. Built for project managers, delivery leads, and engineering teams who need data-driven answers instead of gut-feel estimates.

What you get:

- Probabilistic Forecasting — Four forecast types (How Long, When, How Much, How Likely) powered by your historical completion rates. Colour-coded percentile cards and histogram charts show risk at a glance.

- Risk Buckets — Items automatically classified into Will, May, and At Risk columns based on delivery confidence. Stop guessing which items will land.

- Expected Delivery (xD) — Compare what your team should have delivered against what they actually delivered. Spot drift by week 2, not end of quarter.

- Shot Clock — Time-in-state tracking against your board's historical average, with coaching messages before items stall.

- Find The Reds — Systemic bottleneck detection. Toggle between Acute (items stalled now) and Structural (states that consistently slow everything down).

- Stack The Odds — Dependency-aware delivery intelligence. See which items are blocked, blocking others, or at risk due to upstream dependencies.

- The Work Pitch — Visualise your workflow as a playing field with soccer, GAA, or other sports pitch themes.

- Multi-Board Aggregation — All widgets work across multiple boards for portfolio-level intelligence.


Problems we solve:

- Engineering estimates miss targets by 30-50% — we replace guesswork with probability

- No visibility into which items are actually at risk — we classify risk automatically

- Bottlenecks discovered too late — we detect stalls and structural issues early


Use cases:

- Sprint planning: "Can we realistically finish these 12 items by March 15th?"

- Stakeholder updates: "There's an 85% chance we deliver by the 22nd"

- Continuous improvement: "Items spend 3x longer in Code Review than any other state"

About IMIRT: Built in Newry and Dublin, Ireland by delivery practitioners who use it daily. IMIRT is Irish for "sport" — bringing the discipline of data-driven performance analysis to software delivery. Free for 2 boards.

Get in touch: email us at support@whatifwe.ai

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Installation history

We have data for December 28, 2024 onwards only. Collected sometime after 00:00 UTC daily.

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App metadata

ID: 10001153App ID: 10896159Listing updated: April 28, 2026