license: cc-by-4.0
language:
- en
pretty_name: Startup Credibility Claim Matrix
tags:
- startups
- fundraising
- due-diligence
- evidence
- company-analysis
- csv
size_categories:
- n<1K
configs:
- config_name: template
data_files: credibility-claim-template.csv
default: true
- config_name: fictional-example
data_files: fictional-example.csv
- config_name: data-dictionary
data_files: data-dictionary.csv
Startup Credibility Claim Matrix
This open dataset gives founders a machine-readable way to connect the exact claim an outside reader sees with its evidence, method, date, state, limitations and human owner.
Dataset Structure
The template configuration contains one blank starter row for each claim
class:
- identity;
- quantitative;
- comparative;
- capability;
- outcome.
The fictional-example configuration shows five review states using the
synthetic company Fictional Northstar Robotics. The data-dictionary
configuration defines all 18 fields and controlled values.
Intended Use and Limits
Use the matrix before publishing a pitch deck, investor memo, website or data-room index. Copy the exact public wording, identify its scope and class, then record the evidence locator, method, observation date, review state, limitations and owner.
A linked source does not prove a claim is correct, complete or current. A broken, private or missing artifact remains visible as a gap. Planned capabilities, internal estimates and observed results stay separate.
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 checks relevant claims against current public sources, shows confidence and gaps and supports an outside 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.