PH Deck

Companies often struggle with setting clear objectives and key results (OKRs), tracking progress effectively, evaluating employee competencies, and maintaining transparent communication across the organization. The lack of a structured system for performance management leads to misaligned goals and reduced operational efficiency.

Users struggle with manual tracking of expenses and setting budgets, leading to disorganized finances and difficulty in gaining insights for better financial management.

Teams face challenges in project planning

Creating Gantt charts manually is time-consuming and prone to errors

Risk management is reactive rather than proactive

Collaboration among team members is not streamlined

Users currently rely on fragmented AI tools for different tasks, leading to complex workflows and higher operational costs.

In the current situation, users struggle with the inefficiency and complexity of setting and tracking OKRs with traditional methods, which often involve spreadsheets and manual documentation. Users face challenges in aligning team goals with broader business objectives, lacking real-time updates and comprehensive analytics. The drawbacks include manual tracking, inadequate cross-team transparency, and time-consuming status updates

Users struggle with traditional task management systems that often do not efficiently leverage technology to optimize productivity and organization. The current situation often involves manually prioritizing and scheduling tasks across various platforms, which can be both time-consuming and prone to human error. Manually prioritizing and scheduling tasks is a key drawback.

Users struggle to manage overwhelming numbers of open tabs, leading to distractions and difficulty staying focused.

Service businesses struggle to re-engage lost clients and drive repeat bookings.

Drawbacks: Difficulty in maximizing growth and retention, uncertainty in generating appointments.

Healthcare organizations face challenges with the current system of managing reimbursement denials. The drawbacks of this old situation include slow processing of denials and inefficient workflows, leading to delays in reimbursement and increasing administrative burdens.

Users currently rely on traditional methods such as hiring developers to create and manage AI chatbots, which can be expensive and time-consuming. The main drawbacks of this old situation include requiring technical expertise and high development costs.