Mastering UX Research: 5 Strategies for Maximizing Impact

We know that the heart of creating successful products lies in user experience research. But conducting research is just the tip of the iceberg; effectively communicating findings is equally important. Here are the key takeaways from our recent blog post with Userlytics, “Making Sense of UX Research: 5 Approaches to Structuring Your Findings”.

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How to Synthesize User Research Data in 14 Steps

When it comes to gaining valuable insights from research, collecting user data is easy. You can create and send out a survey in minutes and schedule user interviews while you’re at it. The real challenge lies in organizing research data and drawing insights that achieve your research objectives.

As you collect data, themes and patterns emerge. The quick and easy road is to look at the emerging trends and conclude based on gut feelings. But personal feelings in research lead to biased recommendations that do not achieve your research goals. 

Data synthesis often happens alongside data analysis, where you break down individual parts of a problem to understand the situation better. The best analysis leads to high-level insight alongside a roadmap for implementation. Moreover, these key insights are reliable because they are based on objective evidence, not bias.

So, how do you turn raw, bulky data into the valuable insight you need?

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The Ultimate Guide to Building a UX Research Repository

Without a UX research repository to guide research efforts in an organization, chaos and waste exist. Everyone is winging it as they go. Each team has multiple research tools that do not provide a consistent format for collecting research data, synthesizing bulk data, and getting insights.

The result? UX researchers are always scrambling for answers to questions that should already exist. Unfortunately, there’s no way to find old research because it’s trashed as soon as it’s used. Your current solution is not searchable, and you don’t have a system for organizing data or sharing insights in a meaningful way.

A research repository takes care of these problems. It becomes a centralized storehouse of information that serves as the single source of truth. 

No more data silos, fragmented research, wasted resources, or inconclusive reports that don’t inspire action. You now have a robust solution that makes it easy for anyone in your organization to collect and synthesize bulk research data, automatically get insights, and share that information with stakeholders to drive visible product growth.

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What Is UX Research and Why Is It Important?

What is UX research?

When a UX designer is working on a product, they have two options. Option A is to make a research hypothesis or generalized assumptions about who you think your audience is and what they want. 

Option B is to ask questions like who my ideal audience is, what problems they currently face, and how can I create an inclusive design that offers a great user experience for them?

Option A usually leads to terrible product design, product recalls, poor usability, and dissatisfaction with the product.  If 32% of customers never return to a brand after a poor experience, then you have no second chance to make it right with them.

Option B ensures that design isn’t influenced by inherent bias or assumptions that ruin product usability. Instead, you’re listening to your audience and building user-centric products they love. The result? Increased customer satisfaction, excellent user experience, and higher revenues for your company.

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Quantitative vs Qualitative User Research: Key Differences and Similarities

quantitative vs qualitative user research

Many companies now realize that creating user-centric products is the only way to succeed. They’ve seen the benefits of prioritizing user research as a way to identify user needs, inform and validate design decisions.

While there are many techniques to conduct user research, they mostly fall into qualitative or quantitative user research categories. Qualitative studies provide subjective information, while quantitative studies provide objective information. Both research techniques help designers evaluate a product and decide whether a full or partial redesign is required.

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