Your Decision Genome
How this organization makes decisions — learned from operational behavior, refined with every outcome.
Genome profile
You decide fast and accurately, with strong forecasting and engaged leadership — but cross-functional alignment and recovery speed trail peers.
Ten executive traits
Each trait is computed from operational behavior — not a survey.
Critical decisions close within hours, not days.
- · Median P1 decision time: 3h 12m
- · 92% of P0 incidents acknowledged < 15m
- · Approval cycles down 31% QoQ
Similar situations produce similar choices across sites.
- · Cross-site variance < 8% on staffing calls
- · Same playbook used in 87% of P1s
Decisions validated by outcomes at elite rate.
- · 91% recommendation outcome accuracy · 30d
- · Forecast-driven calls beat baseline 14pts
Approved actions get executed, on time, with proof.
- · 94% of actions closed within SLA
- · Evidence attached on 88% of closures
Re-plans during the day when conditions move.
- · Intraday re-forecasts: 4.2/day avg
- · Shift swaps approved in < 30m
Executives engage early, not after the headline.
- · VP acknowledged 96% of P1 briefs < 1h
- · Daily digest open rate 78%
Bounces back from incidents — but slower than peers.
- · Avg MTTR 4h 18m vs cohort 3h 02m
- · Repeat-incident rate 11%
Steady week-to-week with mild volatility on Mondays.
- · Weekly SL std-dev 2.1pts
- · Monday AHT spikes +9%
WFM, Ops and Quality not yet operating from one plan.
- · 3 conflicting staffing plans seen / week
- · Quality scores absent from 22% of WBRs
Forecast routinely lands within tolerance.
- · MAPE 6.4% · 90 days
- · Volume forecast within ±5% on 81% of days
Strengths & weaknesses
The shortest distance from genome to action.
- · Decision Accuracy (88) — Decisions validated by outcomes at elite rate.
- · Forecast Reliability (86) — Forecast routinely lands within tolerance.
- · Leadership Responsiveness (84) — Executives engage early, not after the headline.
- · Decision Speed (82) — Critical decisions close within hours, not days.
- · Cross-Functional Alignment (61) — WFM, Ops and Quality not yet operating from one plan.
- · Recovery Effectiveness (67) — Bounces back from incidents — but slower than peers.
- · Operational Agility (71) — Re-plans during the day when conditions move.
How Atlas speaks with your Genome
Atlas references your archetype and peer cohort instead of issuing generic advice.
"Transfers increased. Consider reviewing routing rules."
Organizations with a similar Decision Genome (Disciplined Operator, 91% match across 28 peers) typically recovered fastest from a transfer-rate spike in claims by recovered fastest by surging staffing on tue/wed peaks and re-sequencing coaching to claims supervisors first.
Peer cohort intelligence
Anonymised matches across organizations with a similar Decision Genome.
Recovered fastest by surging staffing on Tue/Wed peaks AND re-sequencing coaching to claims supervisors first.
Run a single weekly plan owned by WFM, signed by Ops & Quality before Monday 09:00.
Re-forecast intraday on any KPI moving > 1.5 std-dev, then auto-rebalance the queue.
How the Genome learns
Every completed action becomes organizational learning.
Every operational event flows through the Knowledge Graph and Intelligence Engine.
Atlas issues a recommendation. The choice — approve, modify, reject — is recorded.
Action closes with evidence. Time-to-execute and side effects are captured.
Outcome accuracy adjusts the relevant trait. The cohort match is recomputed.