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Instabug Introduces New Mobile Features

Instabug announces a powerful new suite of features that revolutionize how mobile teams measure, analyze, and improve user app experience. 

The new features – Frustration-Free Sessions, Business Impact Dashboard, and Prioritized Issues List – go beyond crash-free rates to quantify and eliminate user app frustration, empowering mobile teams to take targeted action to boost retention and engagement.

Instabug’s Frustration-Free Sessions consolidates multiple frustration signals – including crashes, slow launches, and network failures – into a single, actionable metric, providing a holistic measure of user frustration and giving teams a clear way to measure and improve user experience.

The Business Impact Dashboard facilitates data-driven decision-making and connects app performance to business outcomes. This ensures teams understand the direct impact of frustration-free sessions on retention and growth.

The Prioritized Issues List ranks issues based on their impact on user frustration and business metrics, eliminating the guesswork and enabling teams to resolve the most critical problems first.

When combined, these features directly link performance improvements to business outcomes, making mobile app success measurable and actionable.

“For years, mobile teams have relied on incomplete metrics that fail to capture the full user experience,” said Kenny Johnston, Chief Product Officer, Instabug. “With the launch of Frustration-Free Sessions, Business Impact Dashboard, and Prioritized Issues List, we are giving teams the capabilities they need to bridge the gap between visibility into the business impact of app quality issues and actually achieving that impact. This is a game-changer for mobile app teams.”

Instabug is committed to revolutionizing mobile app performance by shifting the industry focus from crash-free rates to a more user-centric approach. These new features align with Instabug’s vision of empowering mobile teams with actionable insights that drive technical excellence and business growth. Both technical managers and business executives benefit from this newest suite of features.

Technical managers:

  • Gain a holistic view of app performance by consolidating frustration signals into a single metric.
  • Link technical issues to real business impact, justifying the need for performance investments.
  • Use automatically prioritized insights to efficiently allocate development resources to the most critical issues.
  • Improve collaboration with product and business teams by demonstrating how technical improvements drive user retention and satisfaction.  

Business executives:

  • Gain clarity on how app performance directly affects key business metrics such as retention and churn.
  • Justify and allocate resources more effectively with data-driven insights from the Business Impact Dashboard.
  • Reduce guesswork by using a structured approach to app quality improvement, ensuring investments lead to measurable business impact.
  • Strengthen alignment between technical and business teams by making app performance a shared strategic priority.

Instabug’s new offerings are available as part of its performance monitoring and stability suite, accessible through the Instabug platform. Customers can integrate these features seamlessly into their existing workflows, leveraging real-time data to optimize app performance. 

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Instabug Introduces New Mobile Features

Instabug announces a powerful new suite of features that revolutionize how mobile teams measure, analyze, and improve user app experience. 

The new features – Frustration-Free Sessions, Business Impact Dashboard, and Prioritized Issues List – go beyond crash-free rates to quantify and eliminate user app frustration, empowering mobile teams to take targeted action to boost retention and engagement.

Instabug’s Frustration-Free Sessions consolidates multiple frustration signals – including crashes, slow launches, and network failures – into a single, actionable metric, providing a holistic measure of user frustration and giving teams a clear way to measure and improve user experience.

The Business Impact Dashboard facilitates data-driven decision-making and connects app performance to business outcomes. This ensures teams understand the direct impact of frustration-free sessions on retention and growth.

The Prioritized Issues List ranks issues based on their impact on user frustration and business metrics, eliminating the guesswork and enabling teams to resolve the most critical problems first.

When combined, these features directly link performance improvements to business outcomes, making mobile app success measurable and actionable.

“For years, mobile teams have relied on incomplete metrics that fail to capture the full user experience,” said Kenny Johnston, Chief Product Officer, Instabug. “With the launch of Frustration-Free Sessions, Business Impact Dashboard, and Prioritized Issues List, we are giving teams the capabilities they need to bridge the gap between visibility into the business impact of app quality issues and actually achieving that impact. This is a game-changer for mobile app teams.”

Instabug is committed to revolutionizing mobile app performance by shifting the industry focus from crash-free rates to a more user-centric approach. These new features align with Instabug’s vision of empowering mobile teams with actionable insights that drive technical excellence and business growth. Both technical managers and business executives benefit from this newest suite of features.

Technical managers:

  • Gain a holistic view of app performance by consolidating frustration signals into a single metric.
  • Link technical issues to real business impact, justifying the need for performance investments.
  • Use automatically prioritized insights to efficiently allocate development resources to the most critical issues.
  • Improve collaboration with product and business teams by demonstrating how technical improvements drive user retention and satisfaction.  

Business executives:

  • Gain clarity on how app performance directly affects key business metrics such as retention and churn.
  • Justify and allocate resources more effectively with data-driven insights from the Business Impact Dashboard.
  • Reduce guesswork by using a structured approach to app quality improvement, ensuring investments lead to measurable business impact.
  • Strengthen alignment between technical and business teams by making app performance a shared strategic priority.

Instabug’s new offerings are available as part of its performance monitoring and stability suite, accessible through the Instabug platform. Customers can integrate these features seamlessly into their existing workflows, leveraging real-time data to optimize app performance. 

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IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...