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Make better user experiences with App QoE actions and answers

Traditional network monitoring identifies infrastructure conditions, alarms, and performance changes, but offers limited visibility into the application experience delivered to each individual customer.

Operations Insights combines App QoE, network KPIs, subscriber behavior, device types, and location data to provide elevated observability into the subscriber experience:

  • Who is affected
  • What applications and devices are involved
  • Where the experiences occur
  • When the experiences occur or change
  • Why are experiences good or bad


This subscriber-centric visibility helps teams uncover the who, what, when, where, and why behind both strong and degraded experiences. Teams can resolve performance problems while also identifying successful conditions that can be replicated across other subscribers, locations, applications, and service plans.

 

 

 

Operations Insights workflow DIagram

Operations Insights workflow for isolating issues and identifying opportunities

 

Shift from network-centric monitoring to subscriber-centric operations

Operations Insights helps CSPs connect technical performance with the experience delivered to customers.


Detect silent experience problems

Identify conditions that negatively affect App QoE even when traditional network alarms have not been triggered.


Measure subscriber impact

Determine whether a condition affects an individual subscriber, a location, an application, a service plan, or a larger customer segment.


Isolate the source

Understand whether an experience is being influenced by the access network, core network, device, application, CDN, internet service, or another external condition.


Prioritize the right response

Evaluate the scope, severity, subscriber impact, and business importance of a condition before committing operational resources.


Recognize and replicate success

Identify the network, device, application, or service conditions producing strong App QoE and apply those findings elsewhere.

 

AI App Analyst

Use AI-assisted investigation within Operations Insights

AI App Analyst makes the intelligence easy to access, investigate, and apply.

Instead of requiring every user to understand complex dashboards, query languages, or multidimensional data structures, AI App Analyst allows teams to ask questions in everyday language. It translates those questions into analysis across Operations Insights data and returns clear answers supported by relevant data, visualizations, and explanations.

This extends Operations Insights beyond specialized network analysis tools. Technical Support, Network Operations, Network Planning, Marketing and Sales, Customer Success, and executive teams can investigate the questions that matter to them without relying on engineering or data teams to write complex queries for every request.

 


AI App Analyst Diagram

How AI App Analyst works within Operations Insights

Three ways to use AI App Analyst

Contextual drill-downs

Users can select a metric or dimension from an Operations Insights dashboard and launch an AI-assisted investigation from that context.

This reduces the time spent moving between dashboards, manually correlating information, and searching for the source of a condition.

 

Natural-language exploration

Users can also begin with a question in everyday language.

 

 
Strategy
What traffic trends should we leverage to grow revenue and stay ahead of the competition?
 
Marketing
Which gaming apps are the most popular, who uses them, when do they use them, and where?
 
Product
Are customers using each service plan as expected, and what are they using it for?
 
Planning
Which cell sites need more capacity, and which are underutilised?
 
Technical Support
Show me the top 10 devices experiencing network errors or failures.

Automated Workflow with Streams

Streams extends AI App Analyst by turning recurring investigations into reusable workflows for routine operational and business questions.

 

Elevated Observability that helps teams do more

Elevated Observability

  • Deep analysis of network KPIs and subscriber App QoE
  • Subscriber-centric visibility across applications, devices, and locations
  • Custom dashboards for operational and business teams
  • GenAI-assisted analysis of trends, patterns, and anomalies

 

Benefits

  • Accelerate troubleshooting and resolution
  • Improve subscriber satisfaction and loyalty
  • Improve network planning and investment decisions
  • Reduce churn and uncover revenue-growth opportunities

 

 

Do More

  • Automate subscriber and App QoE analysis
  • Ask natural-language questions
  • Identify root causes and recommended resolution paths
  • Replicate strong experiences and address degraded ones

Make every network decision more customer-centric

Strategy, Marketing and Sales, Product, Planning, Support, and executive teams can work from a common view of subscriber, application, and network performance, while investigating the questions most relevant to their responsibilities.

Operations Insights with AI App Analyst helps CSPs troubleshoot faster, improve planning, strengthen subscriber satisfaction, reduce churn, and uncover new revenue opportunities, all from a clearer understanding of subscriber App QoE.