Guide

These guides walk through the platform in the order most people use it: create an account, upload or connect data, clean it, run an analysis, and read the results. Each guide is short and focused on one task, so a new user can follow the sequence from start to finish, and an experienced user can jump straight to the step they need.

The data setup guides cover how to structure a file before uploading it, how to handle missing values and duplicates, and how to label variables so the platform interprets them correctly. Most analysis problems trace back to the data preparation step, so these guides explain what to check before running anything and what warnings mean when they appear.

The analysis guides explain what each method answers in plain English. Relationship analysis maps how variables influence one another. Prediction ranks the factors behind an outcome. Trend and forecasting shows the likely path of a measure with a range around it. Group comparisons test whether a difference between groups is real. Descriptive statistics summarize what the data contains. Qualitative analysis turns open-ended survey responses and interview notes into themes. Each guide states when to use the method, what the output means, and how to explain the result to someone who is not a specialist.

Surveys and interviews have their own section covering question design, distribution, and how collected responses flow into an analysis. If a question is not answered here, the AI assistant inside the platform responds around the clock, the support FAQ covers common issues, and a person can be reached at support@averisysanalytics.com.