PH Deck

Users manually track skincare routines using journals or multiple apps, leading to inefficient progress tracking and lack of personalized advice.

Users struggle to track subtle skin changes and measure skincare routine effectiveness due to reliance on manual selfie comparisons and subjective assessments, leading to uncertainty about product efficacy.

Users struggle with lack of structured frameworks and accountability when manually setting goals using spreadsheets or generic apps, leading to inconsistent progress and abandoned objectives.

Users struggle with manually tracking progress and experience generic, non-personalized workout plans that fail to adapt to their evolving fitness levels and goals

Users face high costs and lack real-time feedback with traditional personal trainers or self-guided workouts. High cost of personal trainers and lack of real-time feedback are key drawbacks.

Users rely on non-personalized skincare recommendations or time-consuming and costly dermatologist visits for skin analysis, leading to ineffective or generic product choices.

Users struggle to manage personal finances manually or with generic tools, leading to inefficient budgeting, lack of personalized insights, and difficulty staying consistent with financial goals.

Users lack accessible, affordable, and instant skin analysis tools, relying on manual ingredient research or costly dermatologist visits. Lack of accessible, affordable skin analysis and analyzing product ingredients manually lead to uninformed skincare choices.

Users currently track their nutrition by manually logging their meals into calorie tracking apps, which is time-consuming and prone to human error.

Currently, fitness enthusiasts often rely on traditional workout plans and logging methods that are time-intensive and lack personalized guidance. These methods often involve manually tracking workouts, researching exercises suited to individual needs, and regularly updating plans. The drawbacks of this old situation include: time-intensive manual logging, limited personalization, and lack of adaptive guidance based on progress.