Monthly Integrated Hardware & Software Usage Analytics Report

Track and analyze key metrics related to product usage, customer health, and system performance across our integrated hardware and software solution. Focus on user engagement, feature adoption, system reliability, and customer satisfaction to drive product improvements and reduce churn risk.

Report Objective

Monitor and evaluate the health of our integrated hardware and software platform through comprehensive analysis of usage patterns, system performance, and customer satisfaction metrics. Identify trends and opportunities for improvement in product adoption, customer experience, and system reliability.

Platform Usage and Engagement

Track monthly active users and feature adoption rates across the platform

Questions to Consider:

Apr 2024May 2024Jun 2024report_date18,00018,50019,00019,500monthly_active_usersmonthly_active_usersHow is Monthly Active User Growth Trending?Monthly active users show steady growth with 22,000 users in the latest month

  • What is the month-over-month growth rate in active users?

  • Are there any seasonal patterns in user activity?

  • How does this compare to our user acquisition targets?

  • Which features are most actively used by our customers?

  • Are there any underutilized modules that need attention?

  • How has feature usage evolved over time?

AnalyticsIntegrationSecurityAutomationWorkflowfeature_module05001000sum(usage_frequency)AnalyticsIntegrationSecurityAutomationWorkflowHow is Feature Adoption Trending Across Different Modules?Analytics and Integration modules show highest usage frequency

Customer Health and Support Metrics

Analyze customer health scores and support ticket trends by segment

Questions to Consider:

EnterpriseMid-MarketSMBStartupcustomer_segment0500100015002000sum(health_score)EnterpriseMid-MarketSMBStartupHow are Customer Health Scores Distributed Across Segments?Enterprise segment maintains highest average health score of 92

  • Which customer segments show the strongest health metrics?

  • Are there segments requiring immediate attention?

  • How do health scores correlate with customer size?

  • How is support ticket volume trending over time?

  • Which segments require the most support resources?

  • Are there opportunities to reduce support load?

Apr 2024May 2024Jun 2024report_date1.82.02.22.4sum(support_tickets_per_customer) vs. customer_segmentsum(support_tickets_per_customer)customer_segmentWhat is the Support Ticket Trend by Customer Segment?Average support tickets per customer decreased across all segments

System Performance and Reliability

Monitor system uptime and feature module usage patterns

Questions to Consider:

Apr 2024May 2024Jun 2024report_date99.400%99.450%99.500%99.550%99.600%system_uptimesystem_uptimeHow is System Uptime Performing Against SLA Targets?System maintains 99.9% uptime, exceeding SLA requirements

  • Are we consistently meeting our uptime SLA commitments?

  • What are the trends in system reliability?

  • Are there any concerning patterns in downtime incidents?

  • What is the trend in overall feature adoption?

  • Are we meeting our adoption rate targets?

  • How does adoption correlate with user satisfaction?

Apr 2024May 2024Jun 2024report_date74.0%76.0%78.0%feature_adoption_ratefeature_adoption_rateHow is Overall Feature Adoption Rate Progressing?Feature adoption rate reaches 85%, showing strong product engagement