Predictions are designed for discovering new information about your users, customers, market, or other groups of people. For example, you might predict how your users will react to new website headlines with a question like “Which of the following headlines most resonates with you?”Fundamentally, the accuracy of predictions can only ever be estimated or discovered later in time. However, the population evaluation and testing features enable you to generate accuracy estimates so you can build confidence in a model’s predictions.
Predictions represent how a population would respond to questions, not individual people. You’ll never see simulated responses from specific individuals - only aggregated percentages showing how the group as a whole would distribute across answer options.
The batches feature lets you run multiple predictions for a defined test objective or project.For example, you might assemble a set of 50 questions to predict user preferences around product features. You would then trigger this batch with one API call, providing a name and description for the batch such as “Feature discovery Q2”, so you can refer back to it later.
The Predictions tab in your dashboard shows all questions you’ve simulated across different populations. Each row represents a unique question-population combination, allowing you to track and compare predictions over time.
