How TP Practitioners Actually Benchmark: Insights from a Global Survey

Name: ArmsLength AI
Address: New York, United States
Telephone: +1-800-555-1212
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Borys Ulanenko

CEO of ArmsLength AI

TL;DR - Key Takeaways

Most experienced practitioners converge on a core toolkit: IQR ranges, 3-year data sets, and weighted average PLIs.
Percentile methods, loss-maker policies, and sample completeness rules vary substantially across jurisdictions and fact patterns.
Loss-making comparables are rarely handled by blunt rules; most teams combine guardrails with case-by-case judgment.
Capital adjustments are important but used surgically, not as a default clean-up step in every study.
These patterns have direct implications for how we design benchmarking policies, documentation, and tooling.

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