6
+
Cities in the US, Europe and LATAM
90
%
Customer retention over 20 years
100
+
Product validations completed
95
%
Of clients refer us to their networks
Who this Is for
We use AI to handle data synthesis and pattern recognition at scale. Our researchers focus on what AI cannot do: ask the right questions, read between the lines, and tell you what the findings actually mean for your product.
Our mission is to help you build the right thing
We mix strategic research expertise with AI-powered analysis to uncover user needs, validate concepts, and guide product decisions — reducing risk and accelerating time to market.
AI-augmented User Research
Our researchers leverage AI tools to analyze user interviews, surveys, and behavioral data at scale — uncovering patterns and insights faster while maintaining rigorous human interpretation.
Product Discovery & Validation
From initial concept to market-ready feature. We conduct user interviews, competitive analysis, concept testing, and prototype validation to ensure you are building what users actually need.
Market & Competitive Intelligence
Deep analysis of market trends, competitor positioning, and opportunity spaces. We combine traditional research methods with AI-powered data synthesis to deliver actionable strategic insights.
Customer Journey Mapping
End-to-end mapping of user experiences, pain points, and opportunities. We create detailed journey maps that inform product roadmaps and experience design decisions.
Usability Testing & Evaluation
Rigorous testing of prototypes, MVPs, and live products. We identify friction points, measure task success, and provide clear recommendations for improvement.
GBH: Product Strategy
Our latest best practices in Product Strategy
We research with AI. We decide with insight.
A modern research methodology powered by AI analysis, MCP integrations, and human expertise.
Research Agents
AI agents handle data synthesis, pattern recognition, and preliminary analysis — guided by researchers who design studies, validate findings, and extract strategic insights.
MCP Integrations
Model Context Protocol servers connect agents to research tools, collaboration tools (Miro, FigJam), analytics platforms, and our proprietary Research Framework — giving agents trusted context for deeper analysis.
Human-in-the-Loop
Every phase — from study design to insight interpretation — keeps experienced researchers in control. AI augments speed and scale; humans ensure rigor, context, and strategic relevance.
Automated Insight Validation
A dedicated validation agent cross-references findings across data sources, checks for bias, and ensures insights are grounded in evidence before recommendations are finalized.
New York, Miami, Santo Domingo, Los Angeles, Lisbon, Mexico City
We follow the same approach every time to help companies grow:
Fast Onboarding
Your research begins within 2 weeks. We align on objectives, methods, and success criteria before fieldwork starts.
Embedded Collaboration
Continuous partnership via Slack, workshops, and weekly syncs. We integrate with your product team and stakeholders throughout the engagement.
AI-first Analysis
Our agentic research process means faster insight generation, deeper pattern recognition, and more comprehensive synthesis, from day one.
Rooted in the “Why”
Every research finding is connected to your business goals, product strategy, and user outcomes.
The GBH Difference
We deliver results like no-one else because we make tech choices rooted in a deep understanding of your business.
Twenty years of product research. Now with AI doing the analytical heavy lifting.
Remote team. War room down the hall feel.
20 years helping clients make confident product decisions — now supercharged with AI research agents and a proven agentic methodology.
Schedule a call with a product-minded research lead committed to understanding your challenges and opportunities.
We design a research plan tailored to your questions and constraints — leveraging AI tools, proven methods, and rapid iteration — so you get answers fast.
We deliver insights that inform decisions, present findings to stakeholders, and support your team as you act on what we learned.
Product teams that need to validate a concept before committing to a build
Founders running discovery on a new market or customer segment
Engineering orgs that keep shipping features users do not adopt
Companies scaling a product into a new geography or vertical