Qualitative data has become increasingly central to how organizations make strategic decisions. But most tools weren't built for the rigor, complexity, or collaboration demands that research teams actually face. ​

Which is why qualitative research workflows tend to break down after data collection: while structuring, synthesizing it across projects, keeping it accessible over time, and making it usable for people who weren’t in the room when it was gathered.

This is a platform walkthrough where we’ll demo Dots using real workflows to show how teams move from scattered qualitative data to structured, analysis-ready datasets and show how qualitative and quantitative data can be explored together in one connected workspace

You'll see how Dots handles: ​

1. Data collection and centralization across methods and channels

2. Metatag structures and data organization across projects ​

3. Manual and AI-assisted coding and synthesis ​

4. Cross-project and longitudinal pattern finding ​

5. Multi-stakeholder collaboration across geographies ​

6. Reporting and insight generation ​​

What you'll walk away with:
​1) A clear sense of how Dots works and what it can do
2) ​A feel for whether it's the right fit for your use case
3) ​And if it is, a starting point for aligning with the Dots team on how to put your qualitative data to work

The session is designed for research teams managing multiple projects with large or longitudinal datasets, NGOs and social sector orgs with an in-house research function, and UX and insights teams handling ongoing interviews and feedback analysis that feed into strategy and decision-making.