The Glare Design Assessment helps teams spot weak validation, stakeholder friction, alignment gaps, and assumptions that scale without measurable learning—so you have a clearer starting point for improvement.
About 5 minutes · Team-based · Diagnostic snapshot you can act on
Take the Design AssessmentHBR piece arguing that products should be built with feedback loops baked in, so customer data flows back into machine learning and improves the product. Useful when planning a product where data and AI can compound learning over time.
Pop Pays runs dual-track agile with discovery 1-2 sprints ahead of delivery, fed by Pendo, CSM input, and quarterly customer interviews into a scored feedback board. Useful when wiring up a feedback system that actually drives the backlog.
Argues that AI-powered transformation, remote qual, skill gaps, and data quality are reshaping marketing research. Useful when leaders push for more research output without rethinking how it gets done.