Our Expertise
Research
Combine qualitative interviews, analytics, and AI-driven pattern-mining to surface true customer needs. We uncover the 'why' behind user behavior to inform impactful product decisions.
Why Research?
Building products without deep user understanding is like navigating without a compass. Assumptions can lead to costly missteps, features nobody wants, and experiences that frustrate rather than delight. True innovation starts with empathy.
Drasno's research services provide that critical compass. We employ a mixed-methods approach, blending qualitative depth with quantitative rigor, to unearth genuine user needs, pain points, and motivations. We don't just collect data; we synthesize it into actionable insights.
Our AI-driven pattern-mining capabilities allow us to see connections others might miss, ensuring your product strategy is built on a solid foundation of evidence, not guesswork. Invest in understanding, and build products that truly resonate.
Key Deliverables
- In-depth qualitative data collection
- Persona development insights
- Uncovering unmet needs
- Understanding core user motivations
- Identifying key outcomes and pains
- Framework for innovation
- Visualizing end-to-end experiences
- Identifying touchpoints and gaps
- Opportunities for improvement
- Actionable findings summary
- Prioritized recommendations
- Data-backed strategic guidance
Our Research Process
We start by understanding your research questions, existing knowledge, and desired outcomes to define the scope.
We select the most effective research methodologies and participant criteria to gather relevant and rich data.
Our team executes the research plan, conducting interviews, surveys, or usability tests with rigor and empathy.
We synthesize findings, identify patterns, and deliver actionable insights, often iterating on understanding as data emerges.
Our Research Toolkit
We utilize a specialized suite of tools for effective research. Miro and FigJam facilitate collaborative workshops and synthesis. Figma is key for creating testable prototypes. Dovetail serves as our central hub for qualitative data analysis and building a research repository. Analytics platforms provide quantitative insights to complement our findings.
50%
Reduction in Assumption-Based Decisions
3x
More Effective Product Features
80%
Increased User Empathy in Teams
+20%
Improvement in User Satisfaction
Research in Action
Through in-depth user interviews and JTBD analysis, Drasno identified critical pain points that led to a feature overhaul, increasing user retention by 15%.
Frequently Asked Questions
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Uncover deep insights and build products your users will love.