```json { "scores": [ { "id": "cnv_59dbdb86be8b4992", "score": 62, "tier": "regular", "rationale": "Complete column inventory with data types and meanings. Useful reference but boilerplate orientation material." }, { "id": "cnv_159aab3431e3454b", "score": 68, "tier": "regular", "rationale": "Clear dataset context: B2B sales, 85 accounts, 7 products, 35 agents, 8,800 opportunities. Solid orientation but lacks specificity." }, { "id": "cnv_bb705bd2c23d4482", "score": 72, "tier": "regular", "rationale": "Concrete row/column counts and time span (Oct 2016–Dec 2017). Grounded in evidence but primarily structural metadata." }, { "id": "cnv_db1b2fdf19754970", "score": 65, "tier": "regular", "rationale": "Systematic column classification by type. Useful reference structure but low analytical signal." }, { "id": "cnv_75aec10305e84007", "score": 58, "tier": "not_useful", "rationale": "Sample rows shown but no actual data displayed. Describes structure without concrete examples." }, { "id": "cnv_3d164e4841be4681", "score": 75, "tier": "regular", "rationale": "Identifies 23.74% missing close_date/close_value (correlated), 5.68% missing engage_date. Actionable data quality insight." }, { "id": "cnv_b93a6bdce5f34677", "score": 70, "tier": "regular", "rationale": "Confirms 8,800 unique opportunity_ids, zero duplicates. Reassuring but expected finding for primary key." }, { "id": "cnv_1add05c7a9b746f4", "score": 73, "tier": "regular", "rationale": "Distinct value counts: 30 agents, 7 products, 86 accounts, 4 deal stages. Concrete cardinality useful for analysis planning." }, { "id": "cnv_7b2e13953e0d4f4b", "score": 76, "tier": "regular", "rationale": "Revenue right-skewed ($4.54–$11.7K, mean $1.9K), employees 10–376K. Specific distributions guide segmentation strategy." }, { "id": "cnv_fb42741f9bbe42c3", "score": 88, "tier": "great", "rationale": "Critical finding: 1,480 deals reference non-existent GTXPro product; 1,425 deals have missing accounts. Major data integrity issues." }, { "id": "cnv_c302a30a227b4560", "score": 82, "tier": "great", "rationale": "Deal stage breakdown: Won 48%, Lost 28%, Engaging 18%, Prospecting 6%. Top accounts identified. Concrete distribution for strategy." }, { "id": "cnv_7c4f0c2f6f994420", "score": 79, "tier": "regular", "rationale": "Engage/close date correlation r=0.90; revenue/employees r=0.95. Useful but expected relationships, limited surprise." }, { "id": "cnv_b2f6ca67add44533", "score": 80, "tier": "great", "rationale": "Close_value identified as key metric ($0–$30.3K). Top deal $30.3K (GTK 500), top performers named. Actionable revenue insight." }, { "id": "cnv_f6bb663fed374c3e", "score": 85, "tier": "great", "rationale": "Engagement spiked 171x (Oct 2016: 7 → July 2017: 1,198), then collapsed. Suggests business scaling or dataset truncation. Actionable trend." }, { "id": "cnv_4c9427937d98478a", "score": 81, "tier": "great", "rationale": "Identifies Feb–July 2017 peak (1,198 ops, $1.05M), Oct 2016 baseline (7 ops). Specific temporal breaks guide forecasting." }, { "id": "cnv_e241be7f757846d2", "score": 86, "tier": "great", "rationale": "Won deals: $10M revenue, $2.3K avg; Lost/Engaging/Prospecting: $0. Stark binary reveals data quality issue and conversion reality." }, { "id": "cnv_829de7ca6f904748", "score": 84, "tier": "great", "rationale": "Multiple segmentation paths: deal stage, product, agent, account, sector. Concrete guidance for cohort analysis and drilling." }, { "id": "cnv_0f4251669cec4aea", "score": 77, "tier": "regular", "rationale": "US dominates: 83.5% of accounts, 88.5% revenue, 87.4% employees. Geographic concentration noted but limited surprise." }, { "id": "cnv_2e6decf265c44ed7", "score": 92, "tier": "great", "rationale": "All 2,473 lost deals = $0; all 4,238 won deals > $0. Counterintuitive binary pattern signals data collection or business logic issue." }, { "id": "cnv_f947cb97965f4481", "score": 89, "tier": "great", "rationale": "Three concrete analytical questions: win rate drivers by product, deal size impact, agent performance. Directly actionable research agenda." } ] } ```