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Using AI Personas to Simulate Real-World App Usage

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Hello followers! Today, we’re diving into how AI is revolutionizing app testing and user behavior simulation.

Blok, a fresh startup, is shaking up the way developers test their apps by using AI to create synthetic user personas. This means companies can evaluate features and improve their apps without deploying full beta versions.

Founded by Tom Charman and Olivia Higgs in 2024, Blok has already raised $7.5 million from notable investors like MaC Venture Capital, Discord, Google, Meta, Apple, Snapchat, and Pinterest. Their innovative approach provides a predictive layer for app testing, helping teams anticipate how users will interact with new features before any code is written.

As interface complexity grows, the need for robust testing intensifies. Higgs explains that traditional methods aren’t enough, especially with merging chat, voice, and visual elements. By uploading event logs from tools like Amplitude or Mixpanel, developers can generate realistic user personas that represent most of their app’s audience.

The process involves submitting design hypotheses and experiment details, after which the AI-driven personas simulate user behavior, offering insights and recommendations. This helps teams identify potential issues and optimize user experience efficiently.

Currently working with clients in finance and healthcare, Blok is building solutions in a safe environment, where the cost of mistakes is high. Their SaaS platform aims to generate revenue in the mid-single-digit millions this year, expanding their customer base as they refine their technology.

The core idea is to eliminate the wait-and-see period that traditionally hampers product development, allowing companies to test and iterate rapidly. Charman notes that both small startups and large corporations face different challenges, but both can benefit from accelerated testing and prediction.

To get started, users upload their data, define their testing hypotheses, and let the AI run multiple simulations. The platform then provides detailed reports on user interactions, suggestions for improvement, and even chatbot assistance for queries, streamlining the entire testing process.

Blok’s approach signifies a significant leap toward faster, smarter app development, reducing reliance on slow feedback cycles and guesswork. With this innovation, the future of user experience testing looks brighter, more accurate, and more efficient.

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Written by Nuked

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