I Built "Wordle for Opinions" — Here's How 17 Psychology Tricks Keep Users Coming Back

Every day, a notification appears on my phone, announcing a new topic ready to be explored. Gauge, the app I created, invites users to rate the topic on a scale of 0 to 100. Known as "Wordle for Opinions," this solo-developed iOS app is currently in TestFlight beta. In this article, I will break down the concept behind Gauge, the psychological aspects woven into the design, and the technical and business challenges of developing it alone.

Polling apps have been around for a while, as have social features that encourage "hot takes" on larger platforms. However, no one had developed a habit-based product centered around opinions like Wordle did with vocabulary. Wordle's success can be attributed to its simplicity, limited timeframe, and shareability. Gauge tries to replicate this formula, using Wordle's scarcity mechanic and applying it to opinions instead of vocabulary.

The app features four topics that unlock at set times - morning, midday, afternoon, and evening. You can't quickly skim through a week's worth of takes in just a few minutes. When you open Gauge, you'll see a slider ranging from 0 to 100, where you rate the topic. As soon as you submit your rating, you'll instantly see how thousands of other users responded.

This daily structure, scarcity, and shared moment fill a void that generic polling platforms haven't addressed: organization, time limits, and a synchronized daily experience.

Behind Gauge's success lies a deep dive into psychology with 17 unique hooks designed to keep users coming back. First is the curiosity gap - the slider remains hidden until you cast your vote. This creates a sense of anticipation, as your brain is driven to unravel the unknown. Second, there's streak loss aversion, which keeps users engaged by making the loss of their progress feel more tangible than the potential gain of starting anew.

Third, the opinion mirror allows you to compare your answers with others who have similar voting patterns, providing a sense of self-discovery and understanding your place within a group. Fourth, voting tribes enable users to connect with others who share similar opinions, tapping into in-group bias and making you curious about how your tribe will react to the next topic.

Lastly, mystery rewards provide unpredictable unlocks, such as badges or rare topics, which are delivered on an irregular schedule. This variable-ratio reinforcement, similar to how slot machines work, keeps users engaged by generating stronger interest than predictable reward patterns.

Gauge was built entirely solo in SwiftUI for iOS 18+. The decision to target newer devices eliminated compatibility with older devices but allowed me to take advantage of new animation and widget APIs, enhancing the user experience. The backend is powered by Supabase, which simplified the process by offering row-level security, real-time vote aggregation, and authentication.

StoreKit 2 handles the Pro subscription, and WidgetKit displays the current topic on the home screen, reminding users to participate when a new topic unlocks. However, building Gauge solo came with its fair share of challenges. Every feature had to be designed, built, tested, and maintained by me, so I committed to strict scope discipline and avoided adding custom server infrastructure, an admin panel, or an Android version.

Gauge offers a free version with daily voting and instant crowd results, as well as a Pro tier that unlocks deeper insights and historical vote data. The core loop remains free to encourage daily participation, while the Pro tier provides additional value for those who seek more in-depth analysis. To accelerate growth, every TestFlight beta tester receives lifetime Pro access, turning them into dedicated users who vote regularly, report bugs, and spread the word to their friends.

Looking forward, the next milestone is the official App Store launch. Once that's achieved, the roadmap will focus on enhancing the community layer, including more granular voting tribes, public leaderboards for prediction accuracy, and new topic categories based on user interests.