PH Deck

Tech teams often have unidentified strengths and weaknesses, leading to skill gaps and inefficiencies in team performance.

Users in the tech industry need to learn and implement AI strategies but rely on fragmented resources like generic courses, blogs, or self-guided research. Lack of expert-led, actionable guidance and inefficient campaign execution hinder their progress.

Users struggle with traditional manual sourcing and assessing of tech talent, which leads to inefficient hiring processes and mismatched candidates.

Users rely on multiple fragmented tools for marketing, sales, and operations, leading to inefficiency, high costs, and complex management.

Users struggle to find the perfect AI tools quickly, leading to inefficiencies in work processes.

Product managers manually track team performance, skills, and project assignments across scattered tools like Slack, leading to inefficient data aggregation and delayed risk/opportunity identification

Users need to use multiple AI tools (e.g., ChatGPT, Claude, Gemini) for different tasks, but switching tabs, juggling logins, and paying for multiple subscriptions make it inefficient and costly.

Job seekers manually prepare for interviews and create resumes, facing time-consuming preparation and lack personalized feedback on their performance.

Users are currently trying to find and utilize AI tools individually for tasks like writing, design, and translation. The drawbacks include the time-consuming process of searching for and evaluating multiple tools, which can be inefficient and overwhelming.