Find Product-Market Fit through user insights

We conduct bespoke user research and training to help product teams understand their users, improve design, and achieve adoption.
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Team

Our globally distributed team is comprised of researchers, strategists, and designers with experience across the Web3 ecosystem.
UX
Georgia
Rakusen
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Abstract illustration of Henry Harboe
Product
Henry
Harboe
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Abstract illustration of Manansh Shukla
Community
Manansh
Shukla
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Abstract illustration of Estela Duhart
Design
Estela
Duhart
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Abstract illustration of Steven Kawer
Strategy
Steven
Kawer
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UX
Georgia
Rakusen
LinkedIn logoLinkedIn logo
Abstract illustration of Henry Harboe
Product
Henry
Harboe
LinkedIn logoLinkedIn logo
Abstract illustration of Manansh Shukla
Community
Manansh
Shukla
LinkedIn logoLinkedIn logo
Abstract illustration of Steven Kawer
Strategy
Steven
Kawer
LinkedIn logoLinkedIn logo
Abstract illustration of Estela Duhart
Design
Estela
Duhart
LinkedIn logoLinkedIn logo

Experience

Our members have worked with some of the most widely-known teams building DeFi, Layer 1 and Layer 2 Blockchains, Protocols, DAOs, and more.

Past Work

Explore case studies and published work.

NEAR

We supported the NEAR Foundation in understanding how to support new users onboarding to their L1 through mixed methods interviews examining users needs, goals, and the usability of various onboarding pages.

sBTC

We coached the sBTC team through the full research process, collaborating weekly to build a repeatable practice to move from assumptions to research questions to deep insights.

The sBTC ecosystem came out of our engagement with lessons, templates, and experience that is allowing them to do their own user research through the development of Hiro and Stacks.

Status

We helped Status understand what it would take for users to switch from incumbent tools to a new product by conducting Jobs-to-be-done focused user interviews.

Our results guided the direction of Status’ next product launch, allowing them to make higher impact tradeoffs by focusing on users most likely to convert to a new tool.

Status

We helped Status understand what it would take for users to switch from incumbent tools to a new product by conducting user interviews and surveys.

The results guided the product direction and focused the feature set around users who were likely to convert to a new tool.

Learn more ->

Status

We helped Status understand what it would take for users to switch from incumbent tools to a new product by conducting user interviews and surveys.

The results guided the product direction and focused the feature set around users who were likely to convert to a new tool.

Learn more ->

Status

We helped Status understand what it would take for users to switch from incumbent tools to a new product by conducting user interviews and surveys.

The results guided the product direction and focused the feature set around users who were likely to convert to a new tool.

Learn more ->

Status

We helped Status understand what it would take for users to switch from incumbent tools to a new product by conducting user interviews and surveys.

The results guided the product direction and focused the feature set around users who were likely to convert to a new tool.

Learn more ->
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