Datasets:
Download checklist.jsonl from sovrano-ai/ai_summit_workshop: direct link, hf CLI and curl.
- Browser
- Download file 1.05 kB
-
https://huggingface.co/datasets/sovrano-ai/ai_summit_workshop/resolve/main/checklist.jsonl
- Command line
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hf download hf://datasets/sovrano-ai/ai_summit_workshop/checklist.jsonl
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curl -L -o checklist.jsonl https://huggingface.co/datasets/sovrano-ai/ai_summit_workshop/resolve/main/checklist.jsonl
1.05 kB
| {"row":0,"text":"Diagnoses at least 5 customer journey risks, 5 subscription conversion risks and 3 product adoption risks. For each risk defines likelihood, business impact and at least one mitigation action.","is_critical":true} | |
| {"row":1,"text":"Defines a review analysis workflow capable of processing 50 reviews per day, classifying reviews into themes, calculating frequency and severity, and producing a weekly prioritisation report.","is_critical":false} | |
| {"row":2,"text":"Recommends at least 2 root cause analysis methods and applies one such method to diagnose three recurring customer pain points.","is_critical":true} | |
| {"row":3,"text":"Identifies at least three recurring pain points and prioritises corresponding solutions using ICE scoring. Defines impact, confidence, ease and total ICE score for each solution.","is_critical":false} | |
| {"row":4,"text":"Estimates impact on churn risk, conversion rate, MRR and customer satisfaction, providing a baseline assumption, expected improvement range and confidence level.","is_critical":false} | |