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Report Statistics - Disclosurely Analytics & Metrics

Detailed guide to understanding case statistics, performance metrics, trend analysis, and comparative analytics in your whistleblowing program.

Report Statistics

Deep dive into your whistleblowing program's metrics, trends, and performance indicators with comprehensive statistical analysis.

Overview

Report Statistics provides detailed metrics and analytics beyond the dashboard's high-level overview. Analyze performance trends, compare time periods, track investigator productivity, and identify patterns that inform program improvements.

Access: Dashboard > Analytics > Statistics

Core Statistics

Volume Metrics

Total Reports Received

  • All-time report count
  • Breakdown by anonymous vs. confidential
  • New reports per period
  • Growth rate over time

Reports by Time Period

  • Daily submissions
  • Weekly averages
  • Monthly totals
  • Yearly comparisons
  • Peak submission times (day of week, hour of day)

Report Sources

  • By department or location
  • By submission channel (web portal, mobile, phone)
  • By reporting link used
  • Geographic distribution (if collected)

Case Status Distribution

Current State:

  • New/Unassigned: X cases (X%)
  • Assigned: X cases (X%)
  • In Progress: X cases (X%)
  • Pending Information: X cases (X%)
  • Under Review: X cases (X%)
  • Resolved: X cases (X%)
  • Closed: X cases (X%)
  • Archived: X cases (X%)

Status Flow Analysis:

  • Average time in each status
  • Bottleneck identification
  • Status change frequency
  • Cases stuck >30 days in single status

Category Breakdown

Report Distribution by Category:

CategoryCountPercentageTrend
Harassment & Discrimination4528%↑ +15%
Financial Misconduct3220%→ Stable
Health & Safety2515%↓ -10%
Data Privacy2214%↑ +25%
Conflicts of Interest1811%→ Stable
Retaliation127%↑ +30%
Other85%↓ -5%

Category Insights:

  • Most common allegation types
  • Emerging categories
  • Declining categories (potential policy improvements)
  • Cross-category patterns

Priority and Urgency

Priority Distribution:

  • 🔴 Critical: X cases (X%) - Avg resolution: X days
  • 🟠 High: X cases (X%) - Avg resolution: X days
  • 🟡 Medium: X cases (X%) - Avg resolution: X days
  • 🟢 Low: X cases (X%) - Avg resolution: X days

Escalation Tracking:

  • Cases elevated in priority: X%
  • Cases downgraded: X%
  • Average time before escalation: X days

Performance Metrics

Response Time Analysis

First Response Time:

  • Average: X hours
  • Median: X hours
  • Fastest response: X hours
  • Slowest response: X hours
  • SLA compliance rate: X%

By Priority Level:

  • Critical: Avg X hours (Target: < 4 hours)
  • High: Avg X hours (Target: < 24 hours)
  • Medium: Avg X hours (Target: < 48 hours)
  • Low: Avg X hours (Target: < 72 hours)

By Category:

  • Which categories get fastest response
  • Which require improvement
  • Correlation between category and response time

Resolution Time Metrics

Average Time to Resolution:

  • Overall: X days
  • By category
  • By priority
  • By assigned investigator
  • By department/location

Resolution Time Distribution:

  • < 7 days: X cases (X%)
  • 7-14 days: X cases (X%)
  • 14-30 days: X cases (X%)
  • 30-60 days: X cases (X%)
  • 60-90 days: X cases (X%)

  • 90 days: X cases (X%)

Long-Running Investigations:

  • Cases open > 90 days
  • Oldest open case
  • Average age of active cases
  • Factors contributing to extended timelines

Resolution Outcomes

Investigation Findings:

  • Substantiated: X cases (X%)
  • Partially Substantiated: X cases (X%)
  • Unsubstantiated: X cases (X%)
  • Insufficient Evidence: X cases (X%)
  • Withdrawn by Reporter: X cases (X%)
  • Duplicate/Consolidated: X cases (X%)

Actions Taken:

  • Disciplinary action: X cases
  • Policy changes: X cases
  • Training implemented: X cases
  • Process improvements: X cases
  • No action required: X cases

Reporter Satisfaction:

  • Feedback provided: X cases
  • Positive feedback: X%
  • Neutral feedback: X%
  • Negative feedback: X%

Team Performance

Investigator Workload

Cases by Assignee:

InvestigatorActiveClosedAvg Resolution DaysSLA Compliance
Jane Doe8451295%
John Smith12381588%
Sarah Johnson6521098%

Workload Balance:

  • Most assigned investigator
  • Least assigned investigator
  • Recommended redistributions
  • Capacity planning

Team Efficiency

Productivity Metrics:

  • Average cases handled per investigator per month
  • Closure rate by investigator
  • Quality metrics (re-opened cases, findings accuracy)
  • Training effectiveness

Collaboration Patterns:

  • Cases requiring multiple investigators
  • Cross-functional investigations
  • Consultation frequency
  • Expert involvement

Trend Analysis

Historical Comparisons

Month-over-Month:

  • Volume changes: +/- X%
  • Resolution time changes: +/- X%
  • Category shifts
  • Priority distribution changes

Year-over-Year:

  • Annual growth rate
  • Seasonal patterns
  • Long-term trends
  • Program maturity indicators

Quarter-over-Quarter:

  • Quarterly performance
  • Goal achievement tracking
  • Trend direction (improving, stable, declining)

Pattern Detection

Recurring Issues:

  • Same department multiple reports
  • Similar allegations across departments
  • Temporal patterns (specific months, days)
  • Potential systemic issues

AI-Detected Patterns:

  • Common keywords and themes
  • Related case clusters
  • Risk prediction indicators
  • Anomaly detection

Learn More: Pattern Detection

Predictive Analytics

Forecasting:

  • Expected case volume next month/quarter
  • Resource needs projection
  • Peak period anticipation
  • Budget planning support

Risk Prediction:

  • High-risk departments
  • Likely escalation candidates
  • Potential compliance issues
  • Training needs identification

Comparative Analytics

Benchmarking

Industry Comparisons:

  • Your organization vs. industry average
  • Peer organization benchmarks
  • Best-in-class performance indicators

Metrics to Compare:

  • Cases per 1,000 employees
  • Average resolution time
  • SLA compliance rate
  • Resolution outcomes
  • Reporter satisfaction

Internal Benchmarks:

  • Department vs. department
  • Location vs. location
  • Time period vs. time period
  • Team vs. team

Goal Tracking

Set Performance Goals:

  • Response time targets
  • Resolution rate objectives
  • Volume handling capacity
  • Quality metrics

Progress Monitoring:

  • Goal achievement percentage
  • Trajectory (on track, ahead, behind)
  • Required improvement rate
  • Projected completion date

Advanced Statistics

Statistical Significance

Trend Validation:

  • Are changes statistically significant?
  • Confidence intervals
  • Sample size adequacy
  • Margin of error

A/B Testing:

  • Compare process changes
  • Evaluate policy effectiveness
  • Test communication strategies
  • Measure intervention impact

Correlation Analysis

Identifying Relationships:

  • Does faster response correlate with better outcomes?
  • Category correlation with resolution time
  • Department size vs. report volume
  • Training impact on allegation types

Causation Investigation:

  • Distinguish correlation from causation
  • Control for confounding factors
  • Multi-variate analysis

Data Visualization

Chart Types for Statistics

Time Series Charts:

  • Line charts for trends over time
  • Area charts for cumulative metrics
  • Candlestick charts for ranges (min, max, avg, median)

Distribution Charts:

  • Histograms for resolution time distribution
  • Box plots for statistical spread
  • Violin plots for detailed distributions

Comparison Charts:

  • Bar charts for category comparisons
  • Grouped bars for multi-dimensional comparison
  • Stacked bars for composition

Relationship Charts:

  • Scatter plots for correlation
  • Bubble charts for three dimensions
  • Heatmaps for pattern identification

Export and Reporting

Statistical Reports

Pre-Built Report Templates:

  • Monthly Statistics Summary
  • Quarterly Performance Review
  • Annual Program Report
  • Team Performance Report
  • Category Analysis Report
  • Trend Analysis Report

Custom Reports:

  • Select specific metrics
  • Choose visualization types
  • Apply filters and date ranges
  • Save as template for reuse

Export Formats

Excel (XLSX):

  • Multiple worksheets for different metrics
  • Pivot tables for dynamic analysis
  • Charts and visualizations included
  • Formulas for custom calculations

CSV:

  • Raw data export
  • Import into other analytics tools
  • Database loading
  • Custom analysis

PDF:

  • Formatted presentation
  • Charts and tables
  • Executive summaries
  • Board presentations

Best Practices

Regular Statistical Reviews

✅ Weekly:

  • Check volume trends
  • Monitor resolution times
  • Review new patterns
  • Identify urgent issues

✅ Monthly:

  • Compare to previous month
  • Assess goal progress
  • Generate summary report
  • Share with stakeholders

✅ Quarterly:

  • Deep trend analysis
  • Benchmark against industry
  • Review and adjust goals
  • Strategic planning

✅ Annually:

  • Comprehensive program review
  • Year-over-year comparison
  • Long-term trend identification
  • Annual report creation

Data-Driven Decision Making

✅ Use statistics to:

  • Allocate investigator resources
  • Identify training needs
  • Guide policy development
  • Demonstrate program value
  • Justify budget requests
  • Improve processes

✅ Share insights with:

  • Executive leadership
  • Audit committee
  • Department managers
  • HR and compliance teams
  • Board of directors

Data Quality

✅ Ensure accuracy:

  • Regular data validation
  • Correct categorization
  • Proper status updates
  • Complete case documentation
  • Timely data entry

✅ Maintain consistency:

  • Standardized definitions
  • Uniform processes
  • Regular training
  • Quality audits

Support

Questions about statistics?

Report Statistics - Disclosurely Analytics & Metrics | Disclosurely Docs