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Claude Sonnet 4.6 · AIMI Master v5.21.26 · Avatar 1 (Analytics)

Reliability

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Aimi Analysis

Increase Value

Impartner Recommendations

Pipeline Event Log audit.event_log · APPEND-ONLY

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#	Time	Customer	Request Summary	QA ⓘSA4 Bug Scan After every pipeline run, SA4 reviews the full output for errors: missing required fields, schema violations, data sanity failures (clamps percentages), partner-name leaks (auto-scrubbed), event log completeness, and Magen Protocol red flags. Click the row expand arrow to see full bug_scan text.	Defects ⓘSA4 Defect Count Number of distinct defects detected by the SA4 scanner in this pipeline run. Counts bullets in `bug_scan`. Click the row arrow to expand.	Healed ⓘSA4 Healing Actions Applied Number of safe in-place healing actions SA4 applied (numeric clamp, partner-name scrub, missing-array backfill). Magen Protocol violations are NEVER auto-healed — those escalate to Governance.	Semantic Match ⓘRequest–Output Alignment SA3 checks whether the analysis Aimi delivered actually answers the question that was asked. A mismatch — e.g., returning portal views when sales pipeline was requested — is an automatic FAIL regardless of all other scores. This is the first and most critical QC gate.	Magen Protocol ⓘMagen Protocol — Hard-Requirement Principles SA3 validates all five Magen Protocol principles: ① Love (no harm), ② Truth (evidence-based), ③ Confidentiality (no cross-customer disclosure), ④ Understanding (clarify ambiguity), ⑤ Scope (customer's data only). A single violation is an automatic FAIL that halts the pipeline regardless of all other QC scores.	Pearson r ⓘTest-Retest Reliability (Pearson r) Measures consistency of numeric outputs if the same analysis were run twice on identical data. A score of 1.0 means perfectly reproducible results. Threshold: r ≥ 0.90. Values below this indicate the analysis may produce different numbers on re-run — a signal of data instability or randomness in the pipeline.	Cronbach α ⓘInternal Consistency (Cronbach's Alpha) Measures how well the output fields hang together as a coherent set — e.g., whether KPI tiles, chart data, and AI insights tell a consistent story from the same underlying data. Threshold: α ≥ 0.80. Low alpha suggests outputs may be drawing from inconsistent or conflicting data signals.	ICC ⓘIntraclass Correlation Coefficient (ICC) Measures agreement reliability across multiple pipeline runs — similar to how two analysts rating the same data should reach similar conclusions. Threshold: ICC ≥ 0.75. Scores below this suggest the pipeline is sensitive to run-order or processing variation, reducing confidence in the output.	SHA-256 ⓘDeterminism Check (SHA-256 Fingerprint) SA3 computes a cryptographic hash of the sorted output data. Identical inputs must always produce the same hash — proving the pipeline is deterministic. A mismatch means the same request produced different data on different runs, which is a reliability failure.	Null % ⓘData Completeness (Null Rate) The percentage of missing or null values in the source data used for this analysis. High null rates mean the analysis is based on incomplete data, which can skew results. Threshold: ≤ 5%. Above 5% triggers a WARN; above 15% may trigger FAIL. Lower is always better.	QC Result ⓘOverall QC Verdict (SA3) PASS — all checks pass; dashboard delivered. WARN — minor issues detected (e.g., elevated null rate); dashboard delivered with caveats. FAIL — critical failure (e.g., semantic mismatch, determinism failure); dashboard withheld and error surfaced to customer.	Score ⓘCustomer Usefulness Rating (Likert Scale) Your rating of how useful this response was: 1 = Strongly disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly agree — in response to "This information was very useful to me." Ratings are recorded in the audit log and inform Aimi's feedback loop.	Feedback Summary ⓘCustomer Feedback (Understanding Principle) When a score of 1–3 is given, Aimi prompts "How can I make this data more useful to you?" This column captures the customer's written response, forming the feedback-and-iterate loop that drives continuous improvement.	Value Drivers ⓘSA5 Value Drivers Statistically significant patterns already generating measurable value in the customer's Impartner program. Each bullet cites a specific number. Expand row for full view.	Increase Value ⓘSA5 Increase Value Recommendations Specific Impartner platform capabilities the customer should activate or expand based on gaps in their data. Each bullet names a specific Impartner module. Expand row for full view.	Tokens ⓘToken Usage (per request) Total input + output tokens consumed by Claude for this specific request. Input tokens include the system prompt, chat history, and data context sent to Claude. Output tokens are Claude's response. Tracked separately from the cumulative session total shown in the toolbar.	Cost ⓘRequest Cost (USD) Dollar cost of this individual request at Claude Sonnet 4.6 rates: $3.00 per 1M input tokens · $15.00 per 1M output tokens. Sum of all rows equals the session total shown in the toolbar Cost tile.	Data Sources & Scripts
		—	Dashboard	—			—	—	—	—	—	—	—	Chat only	—	—	—	—	—	—	—

SA3 Thresholds: Pearson r ≥ 0.90 Cronbach α ≥ 0.80 ICC ≥ 0.75 SHA-256 identical Null % ≤ 5.0

PASS

WARN

FAIL

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