This is usually a program manager / product manager / ART-level dashboard idea.
It answers:
Are features moving forward, are cross-team dependencies under control, and can we predict delivery with confidence?
1. Feature progress
This shows how much work has been completed for major features.
Example questions:
| Question | Example dashboard metric |
|---|---|
| Which features are started? | Feature status: Not started / In progress / Done |
| How much is complete? | % complete or completed stories |
| Are features on track? | Planned vs actual completion |
| Which features are at risk? | Red/yellow/green status |
Example:
| Feature | Progress | Status |
|---|---|---|
| Search songs | 80% | Green |
| Playlist sharing | 45% | Yellow |
| Offline download | 20% | Red |
Teaching line:
Feature progress tells us whether important product capabilities are moving toward completion.
2. Dependencies
This shows whether one team is waiting for another team, system, vendor, or decision.
Example questions:
| Question | Example dashboard metric |
|---|---|
| Which team is blocked? | Blocked dependency count |
| Who owns the dependency? | Dependency owner |
| When is it needed? | Needed-by date / sprint |
| Is the dependency late? | On track / delayed / escalated |
Example:
| Dependency | Needed by | Owner | Status |
|---|---|---|---|
| Search API from Platform Team | Sprint 2 | Team 4 | Yellow |
| Payment gateway approval | Sprint 3 | Vendor | Red |
| UX design for sharing screen | Sprint 2 | UX Team | Green |
Teaching line:
Dependencies show where work may get stuck because one team needs something from another team.
3. Predictability
This shows whether the team or program usually delivers what it planned.
Example questions:
| Question | Example dashboard metric |
|---|---|
| Do teams finish what they commit to? | Planned vs completed work |
| Is velocity stable? | Velocity trend |
| Are delivery dates reliable? | Forecast accuracy |
| Are sprint/PI objectives achieved? | Objective completion rate |
Example:
| Sprint | Planned | Completed | Predictability |
|---|---|---|---|
| Sprint 1 | 30 pts | 28 pts | 93% |
| Sprint 2 | 32 pts | 30 pts | 94% |
| Sprint 3 | 35 pts | 20 pts | 57% |
Teaching line:
Predictability tells us how confidently we can trust the plan.
Simple classroom explanation
“Feature progress tells us what is being delivered. Dependencies tell us what might block delivery. Predictability tells us whether the plan is realistic based on past delivery.”
Best short explanation
This dashboard helps managers see whether features are progressing, whether dependencies need attention, and whether delivery forecasts are reliable.
REF: AI Tools/ChatGPT
