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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.

See DDScore for investors

Disclosure: I work on DDScore at Playful Pixels Oy.

License

CC BY 4.0. Attribution: Playful Pixels Oy / DDScore.ai.

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