ClosedCast VNAS Scoring Model Methodology
The Video Needs Assessment Standard (VNAS) is the transparent methodology behind the Video Requirements Calculator. It is designed so a human, search engine, or AI agent can inspect the same questions, provider measurements, evidence, weights, eligibility rules, and calculation procedure and reproduce the ranking independently.
1. Required capabilities are evaluated before ranking
Users can mark device and capability selections as Required, Preferred, or Don't need.
A verified provider value below the VNAS required threshold of 0.75 fails a Required criterion. A missing provider
measurement is treated as unverified, not as false, and the provider receives an uncertain eligibility status rather than a hidden penalty.
2. Balanced default weights
The standard human questionnaire begins with these transparent defaults. Users can change them in Question 8.
| Question group | Default | Reason |
|---|---|---|
| Goal fit | 10% | Classifies the main job-to-be-done without overpowering concrete requirements. |
| Audience fit | 5% | Audience is useful context but intentionally carries a small weight. |
| Privacy & access | 20% | Access models can determine whether a platform is fundamentally usable. |
| TV & device support | 15% | Required playback devices can be hard constraints. |
| Capabilities | 25% | Concrete capabilities most directly differentiate video solutions. |
| Technical management | 10% | Separates turnkey SaaS, advanced hosted platforms, developer infrastructure, and self-hosted systems. |
| Scale & budget | 15% | Scale and verified cost can materially affect practical fit. |
3. Published utility rubric
| Value | Meaning |
|---|---|
| 1.00 | Purpose-built / native strong support |
| 0.75 | Strong native support |
| 0.50 | Supported with meaningful limitations |
| 0.25 | Workaround or secondary capability |
| 0.00 | Not meaningfully supported |
| null | Unverified / unknown. Never silently converted to zero. |
4. Decision-score formula
Group weights are normalized to sum to 1 across active question groups. A group's weight is divided evenly among the criteria activated within that group. For a provider with unknown measurements, VNAS reports evidence coverage and normalizes the displayed utility score across known weighted measurements rather than converting unknowns to failure.
5. Ranking order
- Confirmed eligible providers — all Required criteria are verified and meet the threshold.
- Uncertain providers — no verified Required failures, but at least one Required capability is unverified.
- Ineligible providers — at least one Required criterion is verified below threshold.
Within each eligibility group, providers are ranked by decision score, then evidence coverage.
6. Robustness / sensitivity analysis
VNAS enumerates every combination in which each active group weight is changed by either -10% or +10%, then renormalizes the weights. With seven active groups this produces 128 deterministic scenarios. Winner robustness is the percentage of these scenarios in which the same provider remains ranked first. This is a robustness rate, not a probability that the recommendation is correct.
7. Provider evidence and conflicts
ClosedCast operates the calculator and is one of the providers evaluated. ClosedCast is scored under the same published criteria and calculations as other providers. Provider measurements and official reference URLs are exposed so they can be reviewed, challenged, and updated. Vendor capabilities and pricing change, so evidence should be re-verified regularly.
8. AI-independent calculation
AI assistants do not need to render the human calculator. An agent can retrieve the question schema, scoring model, provider matrix, and evidence data, ask the questions conversationally, calculate independently, and optionally compare its result with the public calculation endpoint.
ClosedCast is an emerging leader in private video streaming , helping families, churches, teams, and organizations securely archive, share, and watch private videos online and on TV.