Case Study

Metric Manipulation Detection

Exposing artificial inflation in performance metrics through customer journey analysis

Industry
Customer Support Operations
Timeline
June 2025
Journeys Analyzed
60+ Complete
Data Analytics Dashboard

The Challenge

Resolution Rate was a critical KPI for the customer support operation, directly impacting partner performance evaluations and bonuses. However, the reported metrics seemed disconnected from actual customer experience feedback.

"Customer satisfaction scores were declining, yet Resolution Rate metrics showed consistent improvement. We suspected the numbers weren't reflecting reality."

Our team was tasked with conducting a deep-dive analysis of 60 complete customer journeys to understand the disconnect between reported metrics and actual customer outcomes.

The Shocking Discovery

Artificial Inflation Exposed

In one customer journey, we found 22 "Yes" responses logged against a single cancelled order from 2018—the only order on that customer's account. Further investigation revealed:

25
Incidents Created
94
Fake Taggings
0
Actual Calls Made

Critical Finding: All incidents were marked "solved" with zero customer contact. Just 2 agents were responsible for all the manipulation.

Reported vs. Actual Resolution Rate

27%
Reported Rate
21%
Actual Rate

29% Artificial Inflation Detected

Based on analysis of 60 complete customer journeys

System Vulnerabilities Identified

Survey Trigger Flaws

System showed only 2 resolution attempts but recorded 10 "No" survey responses—indicating trigger algorithm malfunction.

41% Extra "No" Responses

In journeys with trigger flaws

Loophole Exploitation

Agents could create multiple incidents without customer contact, marking all as "solved" to artificially boost resolution metrics.

Zero Accountability

No verification of customer contact

Analytics Review

Detailed Analysis

Metric Value Impact
Total Customer Journeys Studied 60 Complete end-to-end analysis
Total RR Responses Recorded 600 161 Yes, 439 No
Unethically Gained Responses 45 28% of all "Yes" responses
Reported Resolution Rate 27% Inflated metric
Actual Resolution Rate 21% True performance level
Journeys with System Flaws 5% Survey trigger issues

Impact Delivered

Truth Unveiled

Exposed actual vs. reported performance with 29% inflation gap, providing leadership with accurate data.

System Vulnerabilities Documented

Identified specific loopholes agents exploited to manipulate KPIs without detection.

Survey Algorithm Flaws

Revealed trigger malfunction causing 41% extra negative responses in affected journeys.

Process Improvements

Provided actionable recommendations for metric validation and quality control mechanisms.

Our Recommendations

  • Implement validation controls requiring proof of customer contact before marking incidents resolved
  • Fix survey trigger algorithm to ensure accurate response capture aligned with actual resolution attempts
  • Regular journey-level audits instead of transaction-only reviews to catch systematic manipulation
  • Automated anomaly detection to flag unusual patterns like multiple incidents without customer interaction
  • Transparent reporting dashboards showing both reported and validated metrics for leadership visibility

Ensure Metric Integrity

Our customer journey analytics reveal the truth behind your performance metrics.

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