Panel fit
Respondents must operate inside the tech middle market: 50-300 employees, $10M-$100M ARR or equivalent revenue, and direct exposure to M&A, turnaround, growth-stage operations, or integration decisions.
Research operations
Methodology for operator-grade benchmarks.
Human Renaissance research is built for a narrow market: technology companies where operational drag shows up in EBITDA, integration velocity, retention, and execution risk. The methodology below governs the Turnaround Index and related benchmark releases.
Scope
Human Renaissance research focuses on technology middle-market companies, founder-led or sponsor-backed, typically 50-300 employees.
Data sources
Research combines structured respondent panels, aggregated engagement data, public company filings, sponsor operating-partner interviews, and first-party diagnostic outputs. Each release labels the mix used for that dataset.
Outcome bias
Self-reported sentiment is separated from realized operating metrics. Benchmark tables label opinion data, forecast data, and measured outcome data differently.
Anonymization
Company names, exact revenue, exact headcount, and deal-specific identifiers are removed before aggregation. Cohorts with insufficient respondent count are not published.
Weighting
Panels are balanced by respondent role, revenue band, ownership model, and operating trigger so one heavily represented segment does not dominate the final benchmark.
Publication standard
A benchmark is publishable only when the sample is large enough to avoid exposing a participant, the definition is stable enough to compare over time, and the metric is useful to an operator making a board-level or transaction-level decision.
The Tech Middle-Market Turnaround Index 2026 uses this standard for its Q2 wave. Final tables will include sample size, confidence notes, collection window, cohort filters, and any material changes from prior releases.
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