Methodology
Transparent signals, consistent scoring, responsible moderation.
AYSABTU blends community submissions with structured review so that each signal is actionable, contextual, and fair. Here is how we keep the data useful.
Signal intake
- We collect customer stories, product changes, pricing shocks, and service incidents.
- Evidence links and timestamps are encouraged to reduce speculation.
- Public contributions use a pseudonymous handle; authorized operators retain internal account linkage for moderation.
Moderation checks
- Signals are reviewed for relevance, clarity, and evidence.
- Spam, personal attacks, and unverifiable claims are rejected.
- Duplicate submissions are merged to avoid distortion.
Scoring model
- Scores range from 0 (weak health) to 100 (strong health).
- Signals are weighted by recency, verification, and volume.
- Healthy recovery signals can raise a company’s score.
Visibility rules
- Hidden or disabled submitters are removed from public feeds automatically.
- Discussion content is gated to protect contributors.
- We continuously refine policies based on community feedback.
What we do not do
AYSABTU is not a rumor mill or a short-seller tool. We do not publish personal data, confidential documents, or unverifiable claims. Our goal is to surface operational signals that help teams make better decisions.