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Portfolio health, programmes at risk and the decisions waiting on you, read from the live delivery.
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Delivery Digital Twin
See what a decision does to the release before you make it.
- Forecasts with confidence ranges
- Scope and dependency scenarios
- Recommendations recorded as decisions
What is the SyncupHUB Delivery Digital Twin?
The SyncupHUB Delivery Digital Twin is a connected model of your delivery operation that you can ask questions of. It reads capacity, dependencies, carryover and risk as they form, forecasts the release with a confidence range where the evidence supports one, and shows what a scope or dependency change would do before anyone commits to it.
How it works
Reconcile the sources
Work items, sprints, capacity and engineering evidence are reconciled, with data-quality checks and a freshness flag on every signal, so a forecast never quietly rests on stale data.
Model the delivery
Dependencies, capacity and carryover are read together as one system rather than as separate reports, so the critical path and the bottleneck show up as they form.
Ask what happens if
Try a scope cut, a slipped dependency or a moved resource as a scenario and compare the forecast before and after, without touching the live plan.
Decide and record
Recommendations and the decisions taken on them are kept with their reasoning, and planned-versus-actual history shows how earlier forecasts held up.
What’s included
- Source reconciliation and data-quality checks
- Evidence freshness on every signal
- Forecasts with confidence ranges
- Scope and dependency scenarios
- Critical-path analysis
- Planned-versus-actual history
- Recorded recommendations and decisions
- Resource Twin what-ifs for capacity
What it needs
Stated plainly, before a demo does.
- Forecast quality depends on how complete your evidence is.
- A scenario is a comparison, not a change: approving one does not alter live allocations.
- Planning scores are decision support, not delivery probabilities.
Questions about Delivery Digital Twin
What is a delivery digital twin?
A delivery digital twin is a live model of how your delivery actually runs — work, capacity, dependencies and history together — that you can question. A dashboard shows what already happened; a twin lets you ask what is likely to happen next, and what a change would do before you make it.
How is the Delivery Twin different from a project dashboard?
A dashboard reports the state of tickets. The Delivery Twin models the system behind them: which dependency sits on the critical path, where capacity runs out and how carryover compounds. That is what lets it forecast a release and test a scope change, rather than only chart progress.
What data does the Delivery Twin use?
The work hierarchy, sprint history, capacity and availability, dependencies, and engineering evidence such as commits, builds and deployments. Each source is reconciled and checked for quality and freshness, and every forecast shows how complete the evidence behind it is.
How accurate are the forecasts?
As accurate as the evidence allows, and the twin says which. Forecasts carry a confidence range only where the evidence supports one, and planned-versus-actual history shows how earlier forecasts held up, so leaders can judge a forecast rather than take it on trust.
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A 30-minute walkthrough on your delivery model, not a generic demo.