Impact ledger
Permanent chains connecting human contribution to measurable business impact. Measures the organizational system — never individual worth.
Executive summary · organizational system
$180k+ attributed
Value created
Unscaled low-quality spend
Cost avoided
2
Decisions improved
2
Experiments in flight
2
Learnings reused
Business unitOutcome typeStrategic themeSource
Customer observation → Trust insight → Pricing/LP decision → Landing page experiment → SQL lift → $420,000 pipeline (projected)
Signal · s2 · Trust language missing on pricing page
Decision · d1 · Trust-led landing pages
Experiment · x1 · Trust-led LP test
Outcome · 15.4% SQL (partial) from 12%
Increase qualified pipeline by 20%Source · Priya Nair · CS$420,000 projected pipelineAttribution · 62%Growthgrowth2026-07-18AI inferred
Reusable learning · Proof requests precede enterprise commitment
Analytics signal → Paid quality insight → Channel reallocation → CAC experiment → CAC −6% mid-test
Signal · s3 · Paid traffic low-intent forms
Decision · Channel reallocation under m2
Experiment · x2 · CAC channel reallocation
Outcome · CAC −6% mid-experiment
Reduce CAC while preserving win rateSource · Anonymous sales notesCAC efficiency gain (in flight)Attribution · 55%Demandefficiency2026-07-16AI inferred
Reusable learning · Paid form fills are a weak quality proxy
Sales signal → Activity≠demand insight → Deliberation → Preserved minority → Clearer experiment design
Signal · s1 · Demo activity ≠ qualified demand
Decision · d1 options refined with minority view
Experiment · x1 design includes volume risk monitor
Outcome · Decision quality improved (system metric)
Increase qualified pipeline by 20%Source · Jordan Lee · SalesAvoided untested demo-volume scale-upAttribution · 80%Growthgrowth2026-07-17Human confirmed
Reusable learning · Minority evidence can strengthen experiment design