Private Company First-Pass Toolkit
Collection
Open evidence-first worksheets and browser tools for private-company screening and diligence. Maintained by DDScore.ai. • 8 items • Updated
dimension stringlengths 4 18 | review_question float64 | claim_under_review float64 | requested_evidence float64 | evidence_owner float64 | due_date float64 | response_status stringclasses 1
value | source_reference float64 | source_date float64 | contradiction_status stringclasses 1
value | decision_affected float64 | notes float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Business Idea | null | null | null | null | null | open | null | null | not_checked | null | null |
Offering | null | null | null | null | null | open | null | null | not_checked | null | null |
Team | null | null | null | null | null | open | null | null | not_checked | null | null |
Market | null | null | null | null | null | open | null | null | not_checked | null | null |
Competitors | null | null | null | null | null | open | null | null | not_checked | null | null |
Technology & IP | null | null | null | null | null | open | null | null | not_checked | null | null |
Scalability | null | null | null | null | null | open | null | null | not_checked | null | null |
Legal & Regulatory | null | null | null | null | null | open | null | null | not_checked | null | null |
Exit | null | null | null | null | null | open | null | null | not_checked | null | null |
Presentation | null | null | null | null | null | open | null | null | not_checked | null | null |
Financials | null | null | null | null | null | open | null | null | not_checked | null | null |
Fundability | null | null | null | null | null | open | null | null | not_checked | null | null |
Startup Investor Question Evidence Register
This small open dataset gives pre-seed and seed founders a machine-readable way to turn investor questions into evidence requests, named owners and decisions. The blank template contains one row for each of 12 due diligence dimensions.
Dataset Structure
The template configuration covers:
- Business Idea
- Offering
- Team
- Market
- Competitors
- Technology & IP
- Scalability
- Legal & Regulatory
- Exit
- Presentation
- Financials
- Fundability
Each row keeps the review question, claim under review, requested evidence,
owner, due date, response state, source reference and date, contradiction state,
decision affected and notes together. The fictional-example configuration
shows four workflow states using a clearly synthetic company. The
data-dictionary configuration defines all 12 columns and controlled values.
Intended Use and Limits
Use the register before an investor meeting, during data-room preparation or between meetings. Start with the exact question, identify the material claim it tests, request evidence, assign an owner and record which decision the answer could change.
The presence of a source does not prove a claim is correct, complete or current.
The template does not assess source quality. Every example row is synthetic and
labelled Fictional example only.
This dataset contains no real company or personal data. It does not validate claims, calculate a company score, predict funding, provide investment advice, or replace founder judgement, investor judgement or full due diligence.
DDScore Context
DDScore turns submitted private-company materials into a structured 0–100 Due Diligence Score and full written report across 12 dimensions. It cross-checks relevant claims against current public sources and supports a repeatable first pass. It does not provide investment advice or replace human 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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