Content
73%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body delivers dense, domain-specific, actionable guidance with a well-sequenced workflow and explicit measurement feedback loops, and it is token-efficient for its scope. Its main structural failure is progressive disclosure: all three referenced bundle files are absent, so the deep-dive links dangle and the calculator artifact cannot run.
Suggestions
Ship the referenced bundle files (references/cancel-flow-playbook.md, references/dunning-guide.md, scripts/churn_impact_calculator.py) or remove the links and the "Model churn impact" artifact row so no guidance points at files that don't exist.
If the calculator is kept, briefly inline its required inputs and output format so the "Model churn impact" deliverable can be produced even without the script.
Trim rhetorical framing ("Churn is a revenue leak you can plug", "That compounds") and compress the three mode descriptions into a compact routing table to reduce tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dominated by domain-specific material Claude does not reliably know — retry timing ("Retry 1: 3 days after failure"), benchmark tables, reason-to-offer mappings — with only minor rhetorical framing ("Churn is a revenue leak you can plug... That compounds.") and slightly chatty mode introductions that could be trimmed. It fits the 'efficient; minor instances of over-explanation' anchor rather than the level-5 'every token earns its place' anchor, and it never explains concepts Claude already knows, so it is above level 3. | 4 / 5 |
Actionability | Guidance is highly concrete: an exact 5-stage flow, a day-by-day dunning email table, a reason-to-save-offer mapping table, metric formulas with benchmarks, and exact survey copy ("What's the main reason you're cancelling?"). However, the one executable command — "python3 scripts/churn_impact_calculator.py" — targets a script that does not exist in the bundle, so the advertised "Model churn impact" artifact is not runnable. That minor gap fits the level-4 anchor rather than the fully copy-paste-ready level-5 anchor; the inline guidance is far too complete for level 3. | 4 / 5 |
Workflow Clarity | The process is fully sequenced with explicit checkpoints and a feedback loop: pre-flight context gathering ("If .claude/product-marketing-context.md exists, read it before asking questions"), three routing modes, a staged flow with per-stage rules, then measurement ("Track these weekly, review monthly") and diagnostic red-flag thresholds that map failures to fixes ("Save rate <5% → offers aren't matching reasons"). This matches the top anchor (clear sequence, explicit validation, feedback loops); the level-4 anchor's 'minor validation gaps' does not apply since thresholds are explicit. | 5 / 5 |
Progressive Disclosure | References are clearly signaled and one level deep ("See [references/cancel-flow-playbook.md]... for full decision trees and flow templates"), but scoring against the actual bundle shows no references/ or scripts/ directories exist — both referenced .md files and churn_impact_calculator.py are missing. Navigation to the deferred detail is broken, fitting the level-2 anchor (structure that depends on separate files fails); it is above level 1 only because the body itself has clear, navigable section structure. | 2 / 5 |
Total | 15 / 20 Passed |