This guide will help you answer the following questions:

  • What do I do with my data? Comb through your findings to ensure quality and validity, and to unearth usable insights.
  • How do I know if I’m done? Validate some more, and decide whether you need to iterate.
  • How do I iterate? Take everything you’ve learned so far, and successfully close your research loop.

In this product research guide, you’ll learn all about quality control and data cleaning; product-assisted analysis, data cuts, and Automated Insights; poking holes, combining learnings and benchmarking. And it will all become crystal clear through step-by-step explanations and real-world product and marketing examples.

Product Research 301:
An Advanced Guide to
Analyzing & Employing Data