Yellow ai
This is customized report built by Clarity, using AI to analyze feedback from platforms like the App Store and Reddit.
Building trust in every customer interaction
Notification Delays
There are significant delays in receiving push notifications, causing agents to miss important customer queries. This issue affects around 25% of users, leading to slower response times and decreased efficiency.
Notifications come in late, so I miss urgent customer messages.
Complex Interface
The app's interface is not user-friendly, making it difficult for agents to navigate and utilize all features effectively. About 20% of users find the interface cumbersome, which hinders their ability to resolve queries swiftly.
The interface is confusing and hard to use, slowing down my work.
Limited Customization
Users feel restricted by the lack of customization options, which limits their ability to tailor the app to their specific needs. This concern is raised by approximately 15% of users, affecting their overall satisfaction with the app.
I wish there were more customization options to suit my workflow better.

Users' choice
Ada receives overwhelmingly positive feedback for its accuracy in symptom tracking and diagnosis suggestions. Users appreciate its ease of use, comprehensive symptom questionnaires, and the reassurance it provides in managing health concerns. However, some users note limitations in handling chronic illnesses and inclusivity for transgender individuals.

Runner up
Kore.ai is praised for its comprehensive features that integrate communication and collaboration tools, reducing email clutter and enhancing productivity. Users find it intuitive and powerful, though some express concerns about privacy and security.

Straggler
Yellow ai is recognized for its innovative live chat technology that enhances agent productivity and automates query handling. Users appreciate its voice and video calling features, though feedback suggests room for improvement in user interface and integration with existing systems.
Notification Delays
Push notifications are not timely, causing agents to miss critical tickets during breaks. This delay in notifications impacts the overall efficiency of query resolution.
Video Call Quality
The video calling feature suffers from poor quality, leading to disrupted communication with customers. This affects the ability to provide seamless customer interactions.
AI Workflow Errors
AI Agent Workflows occasionally malfunction, resulting in incorrect automated actions. This inconsistency undermines the reliability of automation in query handling.
Limited L2 Query Handling
The app struggles with handling complex L2 queries, requiring more manual intervention than expected. This limitation reduces the overall efficiency of the support process.
Teammate Collaboration Issues
Collaboration features are not intuitive, making it difficult for agents to work together on resolving queries. This hampers the team's ability to efficiently address customer issues.
Feedback Mechanism Flaws
The instant feedback feature is not capturing accurate customer sentiments, leading to misleading insights. This flaw affects the ability to make informed improvements.
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