The Five Dysfunctions of Democratized Research at Scale
Summary
As more organizations embrace research we move on to the second generation question – how do we scale this user centered behavior to support demand? There are fairly systemic issues that can undermine our best intentions. At best, it can render our research wasteful and inefficient, and at worst it can introduce significant risks in the decision making that our teams make. This talk considers five of the most likely challenges you’ll rub up against – speed, silos, teams, numbers and failure to mature. We’ll then discuss what causes these and what you can do to mitigate risks for your organization.
Key Insights
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Democratizing research is more than encouraging everyone to talk to customers; it requires activating existing team tools thoughtfully.
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There are two distinct jobs in customer research: building empathy for diverse contexts and gathering evidence to validate decisions.
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Speed pressure often leads teams to cut corners in participant recruitment and data analysis, risking biased and invalid research.
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Silo dysfunction arises when teams focus narrowly on their feature without considering the broader user context, increasing false positives.
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Weaponizing research happens when teams use data combatively in internal disputes rather than as a tool for collaboration and understanding.
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Quantitative data is often privileged because numbers are easier to digest, but mixed methods that combine qualitative insights yield richer results.
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Early-stage usability testing with just one user can be beneficial to get started, but should not be the permanent approach for mature teams.
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Risk management framing helps match research effort to the potential impact of decisions, optimizing resource use.
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Involving product managers, designers, and engineers together in quality conversations enhances shared understanding and decision making.
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Focusing on end-to-end user journeys rather than isolated features helps teams avoid narrow perspectives and create better product experiences.
Notable Quotes
"More people being closer to customers is very likely to help us achieve better products and services."
"Speed matters, but saving time in recruitment and analysis can lead to invalid and biased research."
"A developer pretending to be a product manager is not reliable participant data."
"People can make up an opinion about anything if asked, which leads to the query effect."
"False positives in research give teams misleading evidence that their solutions are working."
"Designers are not trusted unless they bring data to the table."
"Research should reduce the risk of investing in the wrong place or in the wrong way."
"Testing one user is 100 percent better than testing none, but it’s not a strategy forever."
"Qualitative research gives us the richer, more nuanced and complex conversations."
"Product managers ultimately make the call about research investments and prioritization."
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