Maze vs Whatagraph
Side-by-side trajectory, velocity, and editorial themes.
UX research platform is reshaping itself around AI moderation and AI-driven analysis.
Maze is shipping aggressively across two adjacent fronts: AI-driven research execution (AI Moderator with adaptive conversation styles, visual stimulus support) and AI-driven analysis (thematic analysis now generated automatically across every study type). Around the AI core, recent releases also tighten panel recruitment with Fresh Eyes participant-freshness controls, expand Global Search to blocks and interview sessions, and improve Variant Comparison reliability for A/B prototype tests.
The product is moving from 'research tool researchers operate' to 'research platform that runs and interprets studies on the researcher's behalf'. AI Moderator handles unmoderated conversation; AI thematic analysis turns transcripts into highlights without a researcher manually coding. The core wager is that the analysis bottleneck — not study design — is what limits the volume of research a team can do, and Maze is going after that bottleneck directly.
Expect AI Moderator to keep absorbing more interview style options and stimulus types, and the analysis side to push from theme-extraction toward auto-generated synthesis or report drafts. Panel-quality controls like Fresh Eyes are likely to expand into broader participant-cohort management.
Whatagraph adds Data Storage and a Snowflake source — agency reports stop waiting on live API calls.
Whatagraph is moving from 'report builder over live API connections' to 'managed data layer plus report builder.' Two recent releases anchor the shift: Data Storage lets Whatagraph store customer data on its own infrastructure with a 24-month default backfill, and Snowflake has been added as a first-party data source so warehouse tables can sit alongside paid media and web analytics in the same report. Around that, the company is filling in standard reporting depth — GeoMap widget, conditional formatting, Gauge and Heatmap widget types — plus broader integration coverage like bol. Retailer and Advertising for Benelux retail media and a rebuilt event-level CallTrackingMetrics.
The product is pushing toward becoming an agency-grade marketing reporting platform that also owns the data plumbing. Historically agencies had to choose between Whatagraph-style report builders (fast but live-API constrained) and BigQuery-based stacks (flexible but heavyweight). Whatagraph's managed Storage destination collapses that choice, and the Snowflake source pulls customer-warehouse data directly into the reporting surface — both moves widen the addressable customer set into mid-market and larger agencies.
Expect the next quarter to deepen the data layer: a SQL-style transformation interface on stored data, more warehouse sources (likely Databricks or Redshift), and a billing change that splits the storage layer from the report-builder seat licenses. The GeoMap widget will exit beta with continent-grouped drill-downs.
See more alternatives to Maze →
See more alternatives to Whatagraph →