Easlo Experiments

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4.8 ★· 2 Steps· Productivity

App Showcase: Easlo Experiments

App info

What it does

Easlo Experiments is a focused utility for personal self-improvement. The app allows users to define, track, and analyze their own experiments. The core idea is to test new habits or routines, such as 'Take cold showers after work', and log observations to see what actually works for the individual. It's a structured journal for personal growth.

Where it shines

The app's strength lies in its simplicity and clarity. The 'New Experiment' form (00:13) is straightforward, breaking down a potentially complex idea into simple fields like name, hypothesis, and schedule. The main dashboard (01:30) provides a clean, at-a-glance view of active experiments without any clutter. The experiment detail screen (02:11) offers a clear summary of progress with stats for streak, check-ins, and score, making it easy to see performance over time.

UX highlights

Monetization & growth

The app uses a contextual, feature-gating model for monetization. Instead of a persistent banner or an immediate paywall, premium features are shown as disabled elements within the main UI. For example, adding a second reminder is marked as a 'Pro' feature (01:09). Tapping it triggers a simple, one-time purchase paywall for lifetime access. This approach surfaces the value of upgrading at the exact moment a user might need it, which can be a highly effective conversion strategy.

Who it’s for

This app is designed for individuals interested in self-optimization, bio-hacking, or structured habit formation. It appeals to users who are analytical and prefer a data-driven approach to personal development over simple to-do lists. The target user is likely organized, goal-oriented, and motivated to find evidence-based ways to improve their daily routines and well-being.

Notes & opportunities

The app's minimalism is a strength, but it could be a limitation for some. There are no built-in analytics or charting features visible, which seems like a missed opportunity for an app centered on data collection. Additionally, the process of ending an experiment (02:28) and then separately deleting it feels slightly redundant; these actions could potentially be combined to streamline experiment management.

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