Findings & Decisions

<!-- WHAT: Knowledge base for your analytics session. Stores data sources, hypotheses, and results. WHY: Context windows are limited. This file is your "external memory" for analytical work. WHEN: Update after ANY discovery, especially after running queries or viewing charts. -->

Data Sources

<!-- WHAT: Every data source you connected to, with schema details and quality notes. WHY: Knowing where your data came from and its limitations is critical for reproducibility. EXAMPLE: | user_events | PostgreSQL prod replica | 2.3M rows | user_id, event_type, ts | 0.2% null user_id | | revenue.csv | Finance team export | 45K rows | account_id, mrr, churn_date | Complete, no nulls | -->

Source	Location	Size	Key Fields	Quality Notes

Hypothesis Log

<!-- WHAT: Each hypothesis you tested, the method used, and the result. WHY: Structured tracking prevents p-hacking and makes your reasoning auditable. EXAMPLE: | H1: Churn > 50% for low-activity users | Chi-squared test | Confirmed (p=0.003) | High | | H2: Feature X correlates with retention | Pearson correlation | Rejected (r=0.08) | High | -->

Hypothesis	Test Method	Result	Confidence

Query Results

<!-- WHAT: Key queries you ran and what they revealed. WHY: Queries are ephemeral - if you don't write down the results, they're lost on context reset. WHEN: After EVERY significant query. Don't wait. EXAMPLE: ### Churn rate by activity segment Query: SELECT activity_bucket, COUNT(*), AVG(churned) FROM user_segments GROUP BY 1 Result: Low activity: 62% churn, Medium: 28%, High: 8% Interpretation: Strong inverse relationship between activity and churn --> <!-- Record query, result summary, and interpretation for each significant query -->

Statistical Findings

<!-- WHAT: Formal statistical test results with all relevant metrics. WHY: Recording p-values, effect sizes, and confidence intervals makes results reproducible. EXAMPLE: | Chi-squared (churn ~ activity) | p=0.003 | Cramer's V=0.31 | Reject null: activity segments differ significantly in churn | | Pearson (feature_x ~ retention) | p=0.42 | r=0.08 | Fail to reject: no meaningful correlation | -->

Test	p-value	Effect Size	Conclusion

Technical Decisions

<!-- WHAT: Analytical method choices with reasoning. EXAMPLE: | Use log transform on revenue | Right-skewed distribution, normalizes for parametric tests | -->

Decision	Rationale

Issues Encountered

Issue	Resolution

Resources

<!-- URLs, file paths, documentation links -->

Visual/Browser Findings

<!-- CRITICAL: Update after viewing charts, dashboards, or browser results. Multimodal content doesn't persist in context - capture as text immediately. -->

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Update this file after every 2 view/browser/search operations This prevents visual information from being lost