Your CFO sees Cost Per Call at $8.40. Your actual Cost Per Resolution is $47.20. The $38.80 gap is structural, compounding daily, and invisible to every dashboard you own. We expose the resolution economics behind it and scope the right diagnostic path before live data work begins.
Reconstructs full resolution chains from event-level data — tracing every repeat, transfer, escalation, and rework loop to completion.
Assigns dollar impact to hidden friction using resolution-chain reconstruction and operational cost modeling. Every fault line gets a financial exposure number your CFO can act on.
Flags drift, repeat demand, escalation pressure, and transfer inflation over time. Continuous visibility into margin health — not a one-time report.
Your BI team builds dashboards. We reconstruct resolution chains and assign dollar impact to the friction hiding inside them.
Your CCaaS vendor reports your CPR. We verify it. They cannot do both.
Resolution-chain reconstruction is not a default BI model. It requires tracing every contact from first touch to final closure across systems.
CPR economics requires operational domain logic, not just dashboarding. SQL alone doesn't assign dollar impact to behavioral fault lines.
Fault-line mapping takes 15 years of operational pattern recognition, not a sprint with your analytics team.
Time-to-value is weeks, not quarters. Internal build cycles take 3-6 months to scope, build, validate, and get executive buy-in.
MarginSignal OS turns operational telemetry into an executive view of margin health, drift signals, proof windows, and fix accountability.
Same operation. Same baseline. The difference is whether structural leakage gets diagnosed and contained — or compounds for 90 days.
Illustrative sample environment.
Illustrative sample environment. 90-day proof scorecard.
Illustrative sample environment. CPR drift view.
Illustrative sample environment. Predictive forecasts.
Review sample output publicly or request a guided demo walkthrough. Live client portals remain invite-only and use authenticated tenant access.
Your dashboards may be tracking activity without exposing resolution economics. The margin erosion happening inside repeat contacts, transfer chains, escalation loops, and dispatch revisits rarely surfaces in standard reporting.
These friction patterns compound silently — a 3% repeat rate is not 3% waste. It is 3% compounding across every resolution chain, every day, in every domain you operate.
↳ 22% of interactions required a callback within 7 days.
↳ The callbacks averaged 12 minutes.
↳ 3 of them escalated (Authority Misalignment).
↳ 1 dispatched a truck.
We map 12 operational Fault Lines to our CPR (Cost Per Resolution)™ economics model. Built from your operating data, not generic industry averages.
| The Pivot Point | Structural Fault Line | Predictive Driver | Financial Impact |
|---|---|---|---|
| Transfer Count > 2 | Ownership Diffusion Across Handoffs | Transfer Depth | AWAITING... |
| Escalation Returned | Escalation Bounce (Authority Misalignment) | Escalation Bounce Rate | AWAITING... |
| Revisit within 14 Days | Field Revisit Normalization | 7-Day Repeat Rate | AWAITING... |
We map your telemetry against 13 structural fault lines, including AI handoff degradation where supporting data exists. No 8-week baselining period required.
Every repeat contact, transfer chain, and escalation loop has a dollar value. We calculate the true Cost Per Resolution — not per call, per resolution — so you see what it actually costs to make a customer issue go away.
Every Fault Line is assigned a "Moves-First Metric." We deploy behavioral coaching kits and 30-day containment plans giving leaders exact architectural corrections.
Describe a friction pattern you are seeing on the floor. The Scanner will map it to one of 13 structural Fault Lines and surface a preliminary financial exposure range. Run a full Signal Scan to confirm against your data.
Use generalized examples only. Do not enter client names, PHI, PII, ticket IDs, or confidential operational data.
Awaiting Telemetry
Representative composite — illustrative diagnostic findings based on typical engagement patterns.
FCR reported at 78% — within target. But 22% of interactions generated a repeat within 7 days, and transfer chains were inflating handle times across every queue.
The diagnostic mapped their data against two fault lines — Ownership Diffusion and Escalation Bounce — and surfaced $1.2M in structural margin loss that had been invisible to their BI team for over two years.
"We had 14 dashboards. Not one of them showed us the $1.2M we were losing to repeat contacts and transfer chains. The MarginSignal diagnostic found it in three weeks."
— VP Claims Operations
See exactly what a diagnostic delivers — before you commit.
Findings terms, performance-linked economics, and client-specific commercial assurances are defined only in the written scope after diagnostic path and data readiness are confirmed.
No API integration is required for the initial diagnostic. Client data moves through approved upload paths, and support forms do not accept raw exports, PHI, PII, credentials, or ticket dumps.
No multi-week baselining period. The CPR model generates findings from existing operational data, typically within the first engagement week.
Not software-only. Not consulting-only. A productized diagnostic that scales from first assessment to continuous monitoring.
Start with an Exposure Review. We confirm fit, data readiness, and the most likely fault-line hypothesis before recommending a diagnostic scope.
Signal Scan or full Margin Diagnostic. We ingest your data, reconstruct resolution chains, and deliver ranked fault lines with dollar impact.
Dashboard access, drift monitoring, alerting, audit trail, and ongoing executive review. Continuous visibility into margin health — not a one-time PDF.
We auto-detect ticket structure from the platforms your operation already runs on. No API integration required.
Don't see yours? Custom CSV intake supported.
This is not a one-time report. It is the beginning of continuous margin visibility.
Ongoing tracking of Cost Per Resolution trends. See whether fault lines are contracting or expanding month over month.
Automatic alerts when repeat demand, transfer inflation, or escalation pressure crosses governance thresholds.
Periodic proof tracking and executive briefings tied to verified margin recovery. Evidence your CFO can take to the board.
Commercial terms may include scoped diagnostic fees, monitoring retainers, or performance-linked structures depending on data readiness, client scope, and governance requirements.
Most teams start by confirming fit and data readiness, then move into a Signal Scan or continuous monitoring path when the evidence supports it.
A lightweight fit check that confirms the operating model, likely fault-line hypothesis, and whether client-supplied exports can support a diagnostic.
A forensic diagnostic using client-supplied operational exports, mapped against 13 structural fault lines including AI handoff degradation where data supports it.
A custom path after diagnostic proof, including monitoring retainers, executive governance, and possible savings-linked structures when contract language is ready.
Enterprise & BPO networks: For multi-site deployments or performance-linked structures, contact us for custom scoping.
Clear assumptions. Defined logic. Auditable outputs. From raw data to recoverable margin.
View the full diagnostic methodology30 days of anonymized interaction data. Standard CSV exports. No IT integration required. Encrypted transfer via secure upload link.
Every interaction traced from first touch to final resolution. Rework loops, escalation cascades, and handoff friction quantified at the dollar level.
10-slide executive briefing showing exactly where margin is hiding. Each leakage point quantified against COPC 8.0 benchmarks and industry standards.
Prioritized action plan with dollar values. 30/60/90 day implementation targets. Every recommendation tied to a specific recoverable amount.
Founder & Product Architect
MarginSignal OS exists because I got tired of seeing operations report Cost Per Call at $8 while the real Cost Per Resolution was $43. The gap is structural, not seasonal. I built the diagnostic to find it.
7-Day Repeat Rate: 22%
$1,200,000
Adjusters closing claims as resolved while 22% generate a second site visit within 14 days. Each revisit costs $180-$400 in direct dispatch plus reprocessing. Logged as new contacts, making them invisible to FCR reporting.
30-day coaching intervention on resolution verification protocols. Moves-First Metric: reduce 7-day repeat rate from 22% to 18% within first cycle.
Representative sample from a regional P&C insurance carrier diagnostic. See full sample output →
Every engagement is led directly by the founder and scoped for hands-on execution.
The gap between Cost Per Call and Cost Per Resolution is structural. It compounds daily. And it is invisible to every dashboard in your building. We find it.