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v3.1
Load a custom JSON data file to analyze different company datasets.
Expected format: JSON file with results array containing company objects.
{
"metadata": { ... },
"results": [
{
"company_name": "Example Corp",
"annual_revenue": "$100B",
"hq_country": "USA",
"scores": { "overall": 72, ... }
}
]
}
Load data to view methodology details.
Load data to view data quality metrics.
| Expected Field | Incoming Variable | Preview |
|---|
Ready to Analyze
Upload your company dataset to generate hypothesis validation, propensity scores, and executive rankings.| Company Name | Industry Track | F1 Status | Country | Revenue | Overall Score |
|---|
| Rank | Company | Industry | Overall | Institutional | Personal | Temporal | Actions |
|---|
Each company is scored against the 18 hypotheses defined in the Hypotheses & KPIs tab. For numeric variables, a company scores 1 if its value meets or exceeds the dataset median. For categorical variables, it scores 1 if its value matches the confirmed direction.
Hypotheses are grouped into three factors: Institutional (company characteristics), Personal (executive influences), and Temporal (market timing). The overall score is the average of the three factor scores.
Use the Hypotheses dropdown above to include or exclude specific hypotheses — scores recalculate live.
v3.1