Every survey analysis starts the same way: too many tables, too many numbers, and somewhere inside them, a story worth telling.
The old workflow still works: creating lots of table, stat testing, merging categories, diagonalizing tables, visualizations, and hunting for alternative plausible explanations. But it is slow, and too much analyst time gets spent grinding before the real thinking begins.
AI changes that workflow.
Used well, AI can help reduce the noise, surface patterns, suggest hypotheses, flag alternative explanations, and propose ways to decompose a result. Used badly, it can produce a confident-sounding story that is not supported by the data.
In this webinar, we’ll look at:
- How to use AI as part of a rigorous survey analysis workflow — not as a replacement for judgment, but as a way to get to the judgment faster.
- What AI can do, what it can’t do, and how an experienced analyst can use it to move faster from tables to insight.
Meet the host
Tim Bock, Founder of Displayr
Tim is a data scientist, who has consulted, published academic papers, and won awards, for problems/ techniques as diverse as neural networks, mixture models, data fusion, market segmentation, IPO pricing, small sample research, and data visualization.
