Benchmark

TTRCH Benchmark Report

TTRCH — Time to Root Cause Hypothesis — is the elapsed time from when a support ticket is opened to when the team has a credible, evidence-backed explanation of what went wrong. It deliberately excludes coding, testing, and deploy — those belong in resolution metrics (MTTR).

Why measure TTRCH separately?

Most engineering organizations report MTTR. That blends investigation with fix time — and hides where the hours actually go. When investigation dominates, you need a metric that isolates it.

TTRCH answers one question: how long until we understand the problem well enough to act? Improving TTRCH reduces wasted engineering cycles before anyone writes a line of fix code.

Typical ranges (indicative)

These bands summarize what we see across enterprise support orgs and design-partner conversations. They are directional — your baseline should come from sampling real tickets, not benchmarks alone.

SegmentTypical TTRCH
High-volume B2B SaaS (enterprise support)1–4 hours
Mid-market product teams45 min–2 hours
Internal tools / IT30 min–90 min

How to measure TTRCH

  1. Pick a time window (e.g. last 30 days) and a ticket population that required engineering investigation — not password resets or routing-only tickets.
  2. For each ticket, record t₀ (opened or first engineering touch) and t₁ (first artifact that states a testable root-cause hypothesis with evidence: logs, code pointers, data checks).
  3. TTRCH = t₁ − t₀. Exclude pure handoff delays (e.g. waiting on customer) if you track them separately; be consistent.
  4. Report the median and p90. The median reflects typical experience; p90 captures tail pain that burns teams.

Worked example

A ticket opens at 9:00 with “incorrect balance after partial refund.” Engineers pull logs and code by 10:30 and post a hypothesis: the refund path credited the wrong sub-ledger, with trace IDs and a code reference. TTRCH = 1.5 hours.

The subsequent fix, review, and deploy might take another day — that is resolution work, not TTRCH. Splitting the clock keeps investment focused on the investigation bottleneck.

Methodology note

This report is a living reference. Ranges are synthesized from public research (e.g. maintenance share of engineering time), enterprise support benchmarks, and anonymized partner data — not a single controlled study. Use the investigation tax calculator to stress-test dollars against your own ticket volume and blended rates.

Model your baseline cost from volume, TTRCH, and fully loaded engineering rate — then compare to what automation can recover.

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