PH Deck

Teams often struggle with efficiently accessing and interpreting existing documentation to find information, learn from past projects, and onboard new members, leading to decreased productivity and increased frustration due to the difficulty in finding specific answers quickly within their workspace documentation.

Users **find it difficult to get things done, generate AI images, and obtain quick answers** on different platforms efficiently, which can lead to wasted time and frustration.

Educators and content creators often struggle to generate diverse and accurate questions for assessments from text material, leading to a time-consuming process that may not comprehensively evaluate learners' understanding of the content. Struggle to generate diverse and accurate questions

Users have difficulty in framing complex product questions in languages other than SQL, which leads to challenges in extracting precise answers from databases. Framing complex product questions and the need for SQL knowledge are key drawbacks.

Preparing for technical interviews can be daunting, especially when unsure of what questions to expect. Candidates struggle to find effective resources that cater to various experience levels, leading to unpreparedness and anxiety before interviews. The uncertainty of what questions to expect and the lack of targeted practice are significant drawbacks.

Users struggle to find relevant information quickly due to the vastness of the internet and existing search engines often censor or limit results based on various criteria, leading to restricted access to information.

Businesses struggle to collect meaningful and impactful testimonials from their customers, which are crucial for building credibility and attracting more customers.

Users struggle to obtain accurate answers to complex questions using traditional search engines, which often require sifting through multiple sources and interpreting the information themselves. The drawbacks of this old situation include time consumption and potential inaccuracies in understanding and aggregating different pieces of information.

Users experience difficulty in managing and analyzing data due to the technical complexities involved in traditional analytics and Machine Learning (ML) platforms, resulting in a barrier to efficiently utilize data insights for decision making. Technical complexities and the need for coding knowledge make it hard for non-technical users to embrace data analytics and ML development.

Financial Times subscribers are looking for detailed insights and answers on recent events or broader topics but may find it time-consuming and overwhelming to sift through decades of articles. The time-consuming and overwhelming process of finding specific information in a vast archive is the main issue.