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Whatever it is, spend some time creating a framework for measuring success for your app. ESTABLISH A FEEDBACKLOOP FOR YOUR APP. For best results, the feedbackloop should be built into the app itself, not requiring testers to leave the app to open their email or give you a call. PLAN A BETA RELEASE.
Over the years of building Machine Learning products, I’ve come up with a framework that usually works for me. Build a feedbackloop This helps to gauge customer satisfaction and generates data for improving your machine learning model Monitor For errors, technical glitches and prediction accuracy Get creative!
And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people. I’ve seen three general models work for adding experimentation to your company’s arsenal of customer-focused initiatives: Product teams have direct access to frameworks, tools, and platforms to run experiments.
And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people. I’ve seen three general models work for adding experimentation to your company’s arsenal of customer-focused initiatives: Product teams have direct access to frameworks, tools, and platforms to run experiments.
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