This guide shows how you can raise telemetry scores, close visibility gaps, and keep your environment getting healthier over time. Everything follows the five step loop the scoring system is built around: Detect, Analyze, Fix, Validate, Optimize.
What telemetry scoring tells you
Telemetry scoring quantifies observability and deployment health per asset by aggregating weighted evidence across factors like vulnerabilities, EDR, controls, backup status, ownership, site, and classification. Scores also roll up into grades for fast triage: Good at 70 or above, Partial from 40 to 69, Poor below 40. Use these as your initial signals to spot where visibility is weak.
Workflow at a glance
Detect → Analyze → Fix→ Validate → Optimize, then repeat. The platform’s dashboard widget options give you what you need at each step.
1. Detect
Start in the telemetry dashboard and surface assets with Poor or low Partial scores. These are the places where observability or configuration data is missing or thin. Sorting and filtering by score range helps you isolate problem sets fast, and grades let you triage without drowning in detail. Prioritize by business criticality and risk exposure so the highest impact assets move first.
What you’re looking for here is signal, not root cause. The goal is to quickly form a working set of assets that justify deeper analysis, for example by asset type, location, site, or organizational unit. The dashboard entry points are designed for exactly this kind of first pass.
2. Analyze
Use the analysis views to understand patterns and pinpoint gaps.
• Histogram and donut views show how scores are distributed across your estate. Look for clusters by asset type or site that indicate a systemic gap, not an isolated oddity. That tells you where a single fix can pay off broadly.
• Workbench filters let you slice by telemetry score, asset type, operating system, and more. This is how you carve out cohorts with a shared problem, like a site missing EDR or a device family without backup verification.
• The asset-level explainer breaks down exactly which factors are present or missing for a specific system. Use it to confirm the precise telemetry signals you need to restore for that asset, such as deploying an EDR agent, enabling vulnerability scanning, adding owner or role data, or verifying backups.
By the end of this step, you know whether you’re facing a local issue (fix one asset) or a structural gap (fix a cohort, a site, or a whole asset class).
3. Fix
Apply targeted fixes that map directly to the missing signals you found.
Common fixes include deploying EDR agents or vulnerability scanners, integrating the data sources that populate ownership, SBOM, site, or role, and putting in place operational procedures like backup verification. The key advantage is leverage: similar assets usually share the same gaps, so one fix pattern often solves dozens or hundreds of assets when rolled out consistently.
Treat each fix as a small change program: define the target cohort, apply the control or data integration, and ensure the operational habit will persist so the telemetry signal remains healthy. This keeps your score improvements stable rather than transient.
4. Validate
After you push changes, wait for the next collection cycle so the platform can ingest and process the new telemetry. Plan on 24 to 48 hours before you evaluate the impact. When the new scores arrive, confirm that the targeted assets and cohorts moved from Poor to Partial or Good, and that the specific missing factors now register as present in the asset-level explainer. This gives you quantitative evidence that the fix worked.
If scores did not improve, recheck whether the fix truly addressed the missing factor, whether the data source is connected and mapped, or whether the asset fell into a different cohort than you assumed. Iterate as needed, but only after the ingestion window has passed.
5. Optimize
When a fix pattern proves effective, standardize it and reapply it across the enterprise where it fits. This is how you turn individual fixes into systemic improvements. Over time you’ll recognize recurring telemetry gaps and maintain a small library of proven playbooks that your team can roll out quickly to new sites, new asset types, or new acquisitions. The loop accelerates because each cycle teaches you what works, and you scale those wins rather than rediscover them.
This feedback loop turns telemetry scoring from passive reporting into an engine for continuous improvement. You’ll make better decisions about where to invest monitoring resources and you’ll see the results reflected in score distributions and reduced outliers over time.
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