dimension stringlengths 4 18 | claim_or_question float64 | source_reference float64 | source_date float64 | last_checked_date float64 | refresh_days int64 30 180 | owner float64 | workflow_state stringclasses 1
value | notes float64 |
|---|---|---|---|---|---|---|---|---|
Business Idea | null | null | null | null | 90 | null | open | null |
Offering | null | null | null | null | 90 | null | open | null |
Team | null | null | null | null | 90 | null | open | null |
Market | null | null | null | null | 90 | null | open | null |
Competitors | null | null | null | null | 90 | null | open | null |
Technology & IP | null | null | null | null | 90 | null | open | null |
Scalability | null | null | null | null | 90 | null | open | null |
Legal & Regulatory | null | null | null | null | 180 | null | open | null |
Exit | null | null | null | null | 180 | null | open | null |
Presentation | null | null | null | null | 90 | null | open | null |
Financials | null | null | null | null | 30 | null | open | null |
Fundability | null | null | null | null | 90 | null | open | null |
Private Company Evidence Recency Log
This small open dataset gives VC analysts and investment teams a machine-readable register for recording when private-company claims and source checks were last reviewed. The blank template covers 12 due diligence dimensions and keeps the claim, source reference, source date, review date, refresh window, owner and note together.
Dataset Structure
The template configuration has one blank row for each dimension:
- Business Idea
- Offering
- Team
- Market
- Competitors
- Technology & IP
- Scalability
- Legal & Regulatory
- Exit
- Presentation
- Financials
- Fundability
The fictional-example configuration demonstrates current, review_soon,
refresh_due and source_missing workflow states. Every example row is
synthetic and labelled Fictional example only. The data-dictionary
configuration defines all nine columns and the allowed states.
Intended Use and Limits
Use the log to preserve the source and as-of date behind a claim, assign the next review and prepare a source-refresh queue. A recent review date does not prove that a claim or source is correct. Users must assess source quality and the underlying evidence separately.
This dataset contains no real company or personal data. It does not validate claims, calculate a company score, predict an outcome, provide investment advice, or replace investor judgement or full due diligence.
DDScore Context
DDScore turns private-company materials into a structured 0–100 Due Diligence Score and full report across 12 dimensions. It cross-checks submitted materials against each other and current public information. It supports judgement and first-pass due diligence; it does not provide investment advice or replace investor judgement or full due diligence.
Disclosure: I work on DDScore at Playful Pixels Oy.
License
CC BY 4.0. Attribution: Playful Pixels Oy / DDScore.ai.
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