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Qualitative research is a method of gathering non-numerical insights to understand user behaviours, motivations, and experiences. It focuses on exploring the why and how behind user actions, making it a vital practice in both Design Thinking and Growth Hacking for creating meaningful, user-centred solutions and strategies.
In Design Thinking:
- Understanding User Needs: Qualitative research is central to the Empathise stage, where teams use techniques such as interviews, observations, and focus groups to gain a deep understanding of users’ challenges, desires, and contexts.
- Defining Problems: Insights from qualitative research help frame problem statements during the Define stage, ensuring they are grounded in real-world user experiences.
- Driving Innovation: By uncovering the nuances of user behaviour and emotions, qualitative research inspires creative ideas during the Ideate stage and informs the refinement of prototypes during Testing.
In Growth Hacking:
- Enhancing User Engagement: Growth teams use qualitative research to uncover barriers, motivations, or preferences in the user journey, helping them optimise campaigns or product features.
- Validating Strategies: In combination with quantitative data, qualitative insights provide context for user behaviours, enabling growth hackers to design more personalised and effective strategies.
- Informing Experimentation: Qualitative research guides the formulation of hypotheses for growth experiments, ensuring they address meaningful user challenges or desires.
Examples of Application:
- In Design Thinking: Conducting in-depth interviews with parents to understand their challenges in managing their children’s screen time, providing insights for designing a parental control app.
- In Growth Hacking: Observing user interactions with a subscription page to identify pain points, such as confusing pricing options, and making targeted improvements to increase conversions.
Qualitative research is essential in both Design Thinking and Growth Hacking, as it reveals the human factors driving user behaviour. By focusing on the why behind the data, teams can craft solutions and strategies that resonate deeply with their audience, delivering greater value and impact.
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