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Source: businesswire | Published on: Tuesday, 28 January 2025
SAN FRANCISCO--(BUSINESS WIRE)--Instabug, the leading AI-powered mobile observability platform driving mobile growth, accelerates its mission to revolutionize issue resolution for mobile teams and pave the way toward zero-maintenance apps with the launch of AI Visual Issues. This groundbreaking feature harnesses advanced AI and vision AI models to analyze user session screenshots, automatically detecting UI inconsistencies and errors in mobile applications. By enabling teams to detect issues swiftly, it enhances app quality and elevates the user experience across all devices and platforms.
Instabug’s AI-enabled mobile observability platform empowers mobile teams to deliver five-star user experiences at scale with actionable, mobile-centric insights. Instabug builds on its strong momentum and recognized leadership in mobile observability with the launch of AI Visual Issues and the earlier release of Smart Resolve 2.0, shifting the paradigm of app quality from reactive to proactive, setting a new standard in app development, and freeing teams to focus on growth and innovation rather than firefighting.
“In today’s competitive market, having a flawed visual user experience can significantly impact a business’ brand, leading to decreased user satisfaction, lower retention rates, and potentially damaging the business' reputation,” said Kenny Johnston, Instabug’s Chief Product Officer. “Our AI Visual Issues feature represents a significant leap forward in mobile app quality assurance. By automating the detection of visual inconsistencies, we are helping teams deliver exceptional user experiences faster and more efficiently.”
Revolutionizing mobile app quality with AI
Identifying visual UI inconsistencies has traditionally been labor-intensive and prone to oversight and inefficiencies. Providing automated detection of visual UI issues at scale, AI Visual Issues eliminates the manual labor involved in spotting UI discrepancies, capturing the subtle visual inconsistencies often missed by manual reviews. It combines the power of AI with seamless integration into existing workflows, marking it as the first solution to address visual quality in mobile apps comprehensively and efficiently, across all mobile platforms and app types.
AI that functions as part of the team
Imagine having a team of mobile app developers and QA engineers working behind the scenes, analyzing app sessions, identifying bugs, and resolving issues 10x faster, before they impact your users. Instabug’s AI functions as an extension of your team, reviewing all app sessions, preemptively reporting bugs, and providing solutions to ensure your app runs smoothly — without requiring user-initiated feedback or long testing cycles.
Key features of AI Visual Issues include:
Survey underscores the demand for zero-maintenance apps
Instabug’s hot-off-the-press third-party survey of 1,000 members of the general population confirms the need for auto-healing, zero maintenance apps to deliver a stable, error-free user experience. Nearly three-quarters of users (73%) have stopped using an app because of frustrating visual or navigation issues, with 27% frequently doing so. Over 90% verify that it's important that the apps they are using look consistent and work flawlessly across different devices, with 67% reporting it is very or extremely important.
Additional survey data further drives home the importance of an error-free app user experience:
AI Visual Issues is another step forward in Instabug’s mission of ensuring zero-maintenance apps, leveraging AI and machine learning to automate the mobile app maintenance lifecycle — from detecting complex issues to releasing new app versions with validated fixes. Available as an add-on to Instabug’s Session Replay product, AI Visual Issues is currently offered in private beta by invitation.
Methodology
The Propeller Insights survey commissioned by Instabug surveyed 1,000 U.S. citizens, 18 and over, across the U.S. in December 2024. The survey focused on consumer attitudes toward mobile app performance, their tolerance for app bugs and crashes, and how these factors influence spending and loyalty decisions. Survey responses were nationally representative of the U.S. population for age, gender, region, and ethnicity. The maximum margin of sampling error was +/- 3 percentage points with a 95% level of confidence.
About Instabug
Instabug is the leading platform for AI-powered mobile observability, trusted by developers and enterprises worldwide. Our comprehensive suite of tools enables teams to monitor, optimize, and improve their apps in real-time, ensuring seamless user experiences. With a commitment to innovation and customer success, Instabug is at the forefront of the mobile development landscape, helping companies turn their app ideas into reality.
For more information about Instabug and our latest innovations, please visit www.instabug.com/ai/