Signal Band

Venture validation

Venture Validation Engine

  • Built · Power BI
  • 10 validation gates
  • Evidence-weighted
  • 9 pages shown
“How validated is this venture, what does it really require, and what must be proven next?”

Why teams buy this

The decision
How validated is this venture, what does it really require, and what must be proven next?
Cost of a wrong call
Months of runway spent proving the wrong thing, or a round that stalls in due diligence when the claims meet the evidence.
What you'd do otherwise
Ask an AI chat (which tends to agree with you), lean on a mentor's opinion, or build a spreadsheet model that scores your own optimism.
What you see first
Readiness across ten gates, how much evidence sits behind each hypothesis, and the critical unknowns ranked by what to test next.
Sample result
47% ready, 14 critical unknowns, 5 of 33 hypotheses validated. NovaPay, a fictional venture. Illustrative sample data.
Start here
Fill it in free on the website, then run it on your own numbers with the 30-day Decision Sprint: $99 one-off, unlimited runs, no subscription. Or try the free Startup Soundcheck first. Run it on the website
Venture Control Tower page of the Venture Validation Engine dashboard dashboard
Page 01 · Venture Control Tower Illustrative sample data
9 report pages · hover to hold, select a frame to view it

What it shows

  • Venture Control Tower: readiness, evidence confidence and assumption exposure in one view.
  • Ten validation gates, from Proposition to Decision, driven by the evidence behind each hypothesis.
  • Critical unknowns ranked by a Validation Priority Index, each with the next test to run.
  • Financial and capital projection, capability and resourcing, and a 90-day decision plan.

Outcomes

  • A clear proceed, rework or stop signal backed by evidence.
  • Experiments prioritised by how much each one de-risks the venture.
  • A shared language between founders, investors and delivery partners.

Built for: Founders, venture studios, accelerators and innovation or investment committees.

Product specification

Nine report pages on one model: Venture Control Tower, Validation & Evidence, Product & Market Validation, Market & GTM Engine, Technology & Architecture, Financial & Capital Projection, Capability & Resource Engine, Decision Companion, and a Methodology & Configuration appendix.

Each hypothesis carries a confidence score that moves with the strength of its evidence, so contradicting evidence lowers it as readily as supporting evidence raises it. Gate readiness rolls those scores up, and the Validation Priority Index ranks unknowns by impact against confidence. Investor thresholds such as LTV/CAC of 3 or more and 12 months of runway are tested directly.

Pages
9
Gates
10, Proposition to Decision
Decision
Proceed · Rework · Stop
Format
Power BI (PBIP), CSV intake workbook

How it's delivered: days, not months

  1. ScopeA short call to agree the decision it needs to support and which data you already have.
  2. LoadYour exports go into the model's CSV templates. No live connection to your systems is needed to start.
  3. RunThe model runs on your data, and every number traces back to its inputs and the documented method.
  4. Hand overYou keep the Power BI file, its design walkthrough and engineering companion, or our practitioners run it with you each month.

What's in the box · Venture Validation Engine pack

Power BI report

  1. Venture Control Tower
  2. Validation & Evidence
  3. Product & Market Validation
  4. Market & GTM Engine
  5. Technology & Architecture
  6. Financial & Capital Projection
  7. Capability & Resource Engine
  8. Decision Companion
  9. Appendix — Methodology & Configuration

Guides

  • Design Walkthrough, 23 pages (PDF and Word)
  • Engineering Companion, 68 pages (PDF and Word)
  • Agent implementation kit: ordered steps with a check at each one, a file manifest with checksums, a JSON Schema for every data file and a validator, so an AI agent or engineer can implement it without guesswork

Data

6 configuration · 23 synthetic sample data CSV files. The sample organisation is NovaPay, a fictional embedded trade-credit venture; no real client data is included.

How results are calculated

Every score (evidence confidence, validation status, gate state, readiness, the capital projection) is calculated inside the Power BI model from the CSV files. Replace the inputs, refresh, and everything recalculates.

Verify your install: the guide lists 5 numbers the report must show on the sample data.

You need

  • Power BI Desktop (Windows)

Not included

  • Implementation support
  • Technical support beyond documentation
  • Practitioner interpretation (available as Practitioner Review)

One-off payment, no subscription. One organisation. 12 months of updates. Every download is stamped with your licence record. Digital products are delivered immediately, so purchases are not refundable except where the law requires (your Australian Consumer Law rights are not affected). Licence terms.

Three ways to use it

Self-serve · engine

Run the Venture Readiness Engine

Fill in a guided form on the website and get the decision back in seconds, or call it from the API or MCP server. Unlimited runs for 30 days with the $99 Decision Sprint for this check.

Run it on the website API and MCP

Self-serve · Power BI

Buy the pack · $690

The Power BI report, guides, sample data and agent implementation kit listed above. One organisation, 12 months of updates, no support.

With a practitioner

Set up and run with you

A practitioner runs it on your data and interprets the result. Sized per client, starting with a $750 Practitioner Review.

Book a walkthrough

See Venture Validation Engine running on your own data.