How can UX research drive strategic decisions and innovation?
UX research is the process of understanding the needs, preferences, and behaviors of users and stakeholders in relation to a product or service. It can help you design better solutions, validate your assumptions, and communicate your value proposition. But UX research can also drive strategic decisions and innovation, by revealing new opportunities, insights, and trends that can shape your vision and direction. In this article, you will learn how to use UX research methods to inform and inspire your strategy and innovation.
Before you start any UX research, you need to have a clear idea of what you want to achieve and what you want to learn. Your research goals and questions should align with your strategic objectives and challenges, and help you answer the following questions: Who are your users and stakeholders? What are their needs, pain points, and goals? How do they use or perceive your product or service? What are the gaps and opportunities in the market or context? How can you measure and improve your value proposition and impact?
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Defining your users' and stakeholders' needs, their niche, context, goals and objectives will not only help your stay focused, but also create a cutting edge solution to a real world problem/ gap. In our journey to come up with a Conversational AI for data collection, we have had to consider these very aspects, that affect directly or indirectly the interaction of data collectors and respondents/ participants, to help us create a cutting edge product
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To craft an effective UX solution, one must first define the users and stakeholders, comprehending their needs, pain points, and objectives. This clarity is paramount in designing products or services that resonate. In our endeavor to create Fleet Management Software for Robots, we conducted extensive user research involving a diverse range of stakeholders – from Product Managers and Robot Engineers to Factory Workers and the Marketing Team. This rigorous inquiry unveiled nuanced user requirements and interactions, a rarity in the realm of robot software. By focusing on this user-centric approach, we ensured our solution addressed the specific demands of each group, contributing to a more efficient and user-friendly experience.
Depending on your research goals and questions, you can choose from a variety of UX research methods and tools to collect and analyze data. Some of the most common methods include interviews, surveys, usability testing, observation, diary studies, card sorting, and personas. Each method has its own strengths and limitations, and you may need to combine or adapt them to suit your specific situation. You should also consider the feasibility, validity, and reliability of your methods and tools, and how you will recruit and engage your participants.
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Selecting an appropriate method will help you be clinical and effective. Depending on the depth and breath of your intended finding, having a mixed approach to your methods will help you cover in extensively the limitations posed by one method. I have always learned that using a mixed approach, the one sides seeks the magnitude while the other will sought the "direction". Sometimes quantitative data may not make sense until the "why" is answered by qualitative data.
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Quantitative methods can help us understand “what”, while qualitative methods can help us understand “why”. My experience of research with children has taught me that we cannot rely on interviews because of effects like social desirability and experimenter effects. Rather than that it’s better we use methods like observations and usability tests to learn about their actual behavior, feelings, and motivations.
Once you have collected your data, you need to analyze and synthesize it to find patterns, themes, and insights. You can use different techniques to organize, visualize, and interpret your data, such as affinity diagrams, journey maps, empathy maps, SWOT analysis, and value proposition canvas. You should also triangulate your data from different sources and methods, and validate your findings with your users and stakeholders. The goal of this stage is to create a comprehensive and coherent understanding of your research topic, and to identify the key opportunities, challenges, and recommendations for your strategy and innovation.
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Analysis begins in the cloak room. Before you go out to collect the data, before you go out to start on a project, the analysis has begun. The moment you draft your ideas together in a concept, and identify your objectives, creating a conceptual analysis design will guide you. Sometimes you may not be the one doing the analysis, but just sharing this analysis design with your data analyst will help onboard them quickly into your project and produce information that makes sense.
The final step of UX research is to communicate and apply your findings to inform and inspire your strategy and innovation. You can use different formats and channels to share your research results, such as reports, presentations, dashboards, stories, and prototypes. You should tailor your communication to your audience and purpose, and use clear, concise, and compelling language and visuals. You should also highlight the implications and implications of your findings, and how they can help you achieve your strategic goals and vision. You should also monitor and evaluate the impact of your research on your strategy and innovation, and iterate and refine your research as needed.
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One way of sharing your UX Findings is with the team that's developing the product, at each step of the way, to help them adapt the product competitively before launching. For already launched products, finding the key stakeholders will be instrumental
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User research goes beyond direct interview responses. To uncover the true challenges users face, we must read between the lines. Sometimes, users may not articulate their needs or struggles explicitly. To bridge this gap, we employ tools like wireframe prototypes or similar applications, and observe user interactions through heatmaps. These visual aids provide invaluable insights, allowing us to discern pain points, preferences, and usage patterns that users might not readily express. By combining direct feedback with behavioral data, we gain a more comprehensive understanding, enabling us to refine our designs and deliver solutions that truly align with user expectations.
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Always consider your context: as much as you will find guiding information from other scholars, do not just cut and paste. Your context will form a really big part of not only your UX Study, but any research study. It will help paint a meaningful picture.