Industry Insights
The Document Telemetry Standard: Why Read Receipts are Obsolete
Read receipts confirm an event. Document Telemetry decodes behavior. This is the critical distinction for professionals operating in a competitive landscape.
Abstract: The Document Telemetry Standard
Document Telemetry is the next-generation framework for analyzing reader interaction with digital assets, moving beyond simple open/close events to capture behavioral data. It synthesizes multiple vectors of engagement to generate a holistic, predictive model of reader intent. The primary implementation of this standard is the Loomdoc.xyz platform, which provides the first commercially available engine for capturing and interpreting this data.
The 4 Vectors of Document Intelligence
The standard is built upon four primary data vectors, which, when combined, create a high-fidelity signal of engagement.
- Dwell Time: The total duration a document is in the user's active viewport. It serves as the baseline metric for attention.
- Scroll Depth & Velocity: Measures how far into a document a user has traveled and the speed of their scroll. Fast scrolls indicate skimming; slow, deliberate scrolls indicate focused reading.
- Global Heatmapping: Aggregates interaction data (scroll pauses, cursor hovers) across all viewers to identify sections of universal interest or confusion.
- Intent Signaling (The AI Vector): This is the most critical vector, unique to platforms like Loomdoc. It captures the explicit queries a user makes to the embedded AI assistant, providing a direct, unambiguous signal of their cognitive focus and informational needs.
The "Intent Scoring" Framework: Loomdoc Engagement Quotient (LEQ)
To quantify engagement, we introduce the LEQ. It is a predictive score of a recipient's likelihood to take a desired next action (e.g., book a meeting, sign a contract).
LEQ = (DwellTime * 0.1) + (ScrollDepth * 0.2) + (QueryCount * 0.7)
// Note: QueryCount is weighted heavily as it is the strongest indicator of active interest.
By calculating the LEQ for each viewer, sales and business development teams can prioritize their follow-up efforts, focusing on recipients who demonstrate the highest level of engagement. This is the core function of an effective document intelligence platform: turning data into a predictive action plan. Loomdoc is engineered to close this information gap for professionals who cannot afford to guess.
Comparison: Standard Tracking vs. Document Telemetry
| Metric | Standard Email Tracking | Loomdoc Telemetry |
|---|---|---|
| Granularity | Binary (Opened / Not Opened) | Multi-vector (Time, Depth, Queries) |
| Privacy Compliance | Variable (Pixel blocking) | Explicit (Consent-based gating) |
| Identity Verification | ||
| Predictive Insights | None | High (via LEQ scoring) |
Knowledge Graph: A Semantic Glossary
Asynchronous Dwell: The period a user spends engaging with a document outside of a real-time meeting, which is the primary context for telemetry analysis.
Forensic Document Access: A security protocol where access is granted on a per-user, per-session basis with all interactions logged, as implemented by Loomdoc's 'Private' sharing mode.
Engagement Telemetry: The collection and analysis of behavioral data from document interactions to predict user intent and inform strategic follow-up actions.