PH Deck

Companies face issues with understanding their users' online behaviors, struggling to pinpoint exactly where their digital products may be falling short in providing an optimal user experience. The drawbacks include tedious data analysis processes and inability to efficiently identify and address user experience problems.

Product teams often struggle to understand user experiences across various aspects of their products, leading to a fragmented understanding and the use of multiple tools, which complicate and increase the cost of insight gathering.

Users manually test critical user flows, leading to high test maintenance and inefficient QA processes when UI changes occur.

Companies often struggle to conduct user interviews due to the significant time and resources required. Conducting interviews efficiently while also capturing and analyzing user insights can be particularly challenging. Conducting interviews efficiently and capturing user insights in detail are major pain points.

Users previously relied on traditional palmistry consultations, which require in-person visits to specialists and often involve subjective interpretations of palm lines.

Users rely on online-only AI tools requiring constant internet connectivity, facing dependency on internet connectivity and potential security risks with data processed online.

Users record their workouts but struggle to self-analyze form, reps, and movement without expert guidance, leading to potential injuries or ineffective training.

Project teams often struggle to generate concise and effective user stories and acceptance criteria, which can lead to longer project timelines and increased effort in building a product backlog.

Users struggle to deliver personalized experiences to users based on their product behavior, leading to lower conversion rates.

Users struggle to discover practical AI use cases efficiently, relying on scattered resources and manual research, leading to inefficient learning and implementation of AI automation.