Evidence Grading and Behavioral Cross-Check (QA)

Evidence Grading and Behavioral Cross-Check (QA)

1. 01

   Tag every incoming data point with its collection method before it enters a client deliverable

   Self-reported survey answers, moderated interview notes, and observed clickstream events carry different evidentiary weight. Label each so a reviewer can see the mix at a glance.

2. 02

   Score each finding on two axes: sample size and whether the signal is stated or observed

   A 40-response Typeform survey and a 12,000-session behavioral trace answer different questions. Record both numbers next to the claim they support.

3. 03

   Pair every self-reported claim with at least one behavioral or third-party signal

   If a client's buyers say price is the top objection, check abandonment points, support ticket themes, or review-site language before writing that into a strategy deck.

4. 04

   Run a contradiction pass across all sources and log disagreements rather than averaging them

   When survey sentiment and observed behavior diverge, the gap is usually the most valuable finding in the study. Flag it for the client conversation instead of smoothing it over.

5. 05

   Check recency on every cited figure and mark anything older than two quarters

   Market sizing, competitor pricing, and category benchmarks decay fast. A dated number presented as current is the fastest way to lose credibility in a retainer review.

6. 06

   Assign a confidence label (high, medium, low) to each recommendation before it ships

   Low-confidence items stay in an appendix or an internal watchlist. Only medium and high findings drive budget or roadmap commitments.

7. 07

   Have a second team member challenge the three load-bearing findings in the report

   The reviewer's job is to ask what would falsify each claim. Document the answer so the agency can defend the recommendation if the client pushes back.