I use Glow to turn complex survey results into clean, interactive dashboards that clients actually want to look at. The drag-and-drop builder is the star for me — I'm not a data scientist or a designer. I just pull in a CSV from DataGame, pick a chart type (heatmaps, trend lines, whatever fits), and Glow suggests smart defaults for colours, labels, and sort orders. That alone saves me hours. The chart library is deeper than I expected. It's not just bar and pie charts. I regularly use Likert scale visualisations (perfect for satisfaction surveys), sentiment word clouds for open-ended responses, and even Sankey diagrams to track how respondents move through a gamified survey. The last one has been surprisingly useful for spotting drop-off points. Setup was almost frictionless. I had my first real client dashboard ready within an hour of signing up. No IT involvement, no training course. Switching from Tableau and PowerPoint was a game-changer. Tableau was overkill for us — too heavy, too slow to build simple things. PowerPoint meant manual updates and zero interactivity. Glow sits right in the middle: powerful enough, but not a headache. Review collected by and hosted on G2.com.

The biggest gap is advanced statistics. I'm a market researcher — sometimes I need more than averages and percentages. Significance testing (t-tests, chi-square), correlation matrices, regression analysis — none of that is built into Glow. So I still export data to SPSS or Excel, run my stats there, then bring the results back into Glow for visualisation. That extra step breaks the flow. I wish Glow offered a 'Research Stats Pack' as an add-on for people like me. Review collected by and hosted on G2.com.