Execution Friction Index
How much distance there is, in real professional settings, between deciding to do something and doing it. An open measure, built on KAIRON's anonymized sessions.
This first edition is published with a pilot sample of 52 participants. It isn't representative at the population level and shouldn't be read as national or sector-wide statistics. It's published anyway because the methodology is what's meant to be scrutinized, and because the only way to improve the sample is to open up the instrument.
What it measures
The EFI is a value from 0 to 100 that expresses the proportion of declared intentions that don't turn into action within their expected window, weighted by how relevant the person themselves rates each intention. A low value means what gets decided actually gets done; a high one means intention and execution are systematically decoupled.
Execution follows the decision with no appreciable resistance.
Frequent delays on specific tasks, with no stable pattern.
An identifiable pattern recurrently blocks the same type of task.
Intention stops being a useful predictor of behavior.
How it's calculated
Three variables, collected within the KAIRON session itself, with no added questionnaire. The full methodology is public so anyone can replicate or challenge it.
Intention conversion rate
Proportion of actions agreed on at the close of an I-R-O session that get confirmed as done at the next contact.
Start latency
Time elapsed between the decision to act and the first verifiable move, normalized by task type.
Pattern recurrence
Number of times the same cognitive pattern gets identified on the same type of task within a 30-day period.
Data is aggregated anonymously, and no organization receives individual information about its people. The separation between personal data and aggregated data is structural, not a revisable policy.
Pattern distribution in the pilot sample
Which pattern was identified most often across recorded sessions. Percentages add up to more than 100 because the same person activates different patterns depending on the situation.
Provisional figures, pending confirmation with the full sample. Before publishing, replace with the real values exported from the KAIRON panel and date the data cutoff.
How to cite this index
G-Structure (2026). Execution Friction Index, preliminary edition. Guayaquil, Ecuador. Available at g-structure.co/en/friction-index
The instrument and methodology are free to use, including application by third parties for research purposes. To access the aggregated data in structured format, write to guillermo@g-structure.co.
Measure your team's friction
The Execution Diagnostic applies the same instrument to a real cohort and delivers the aggregated result in 30 days.
See KAIRON for Teams