Execution Reliability measures whether decisions become outcomes consistently.
A system can decide quickly and still fail if it cannot execute.
This sensor is about converting intent into reality.
What This Sensor Measures
Execution Reliability measures:
On-time delivery rate
Quality consistency of implementation
Gap between plan and outcome
Rework frequency
Failure recurrence after “fixes”
How to Read This Sensor
Healthy signal
Projects ship on time with stable quality
Plans match outcomes
Rework declines over time
Failures are repaired permanently
Recurrence drops after interventions
Danger signal
Plans are announced but outcomes lag
Delivery is late and inconsistent
Rework is normal
The same failures return
Execution relies on heroic individuals, not systems
Thresholds
Level 1: High reliability
Consistent delivery, low rework, low recurrence
Level 2: Functional reliability
Mostly works, occasional execution slips
Level 3: Unreliable execution
Delays and quality gaps become common
Level 4: Chronic failure
Execution becomes crisis-driven, recurrence stays high
Level 5: Execution collapse
System cannot implement, legitimacy and stability degrade
Minimum Viable Test
Take the top 3 repeated promises or plans.
Check if outcomes matched.
If promises repeatedly miss and the same gaps return, execution reliability is low.
Repair Actions
Reduce coordination cost
https://edukatesg.com/civilisation-sensor-coordination/
Improve accountability clarity
https://edukatesg.com/governance-sensor-accountability/
Use recurrence as truth: if it repeats, repair didn’t happen
https://edukatesg.com/planet-sensor-recurrence/
Links
Governance OS Sensors Directory
https://edukatesg.com/governance-os-sensors/
Planet Sensor: Recurrence Index
https://edukatesg.com/planet-sensor-recurrence/
Canonical Statement
Execution Reliability measures whether governance can convert decisions into outcomes. If execution is unreliable, decay compounds even when intent is correct.