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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How to Create a Repeatable Process for UX Research

UX Research process

When conducting user research, it’s important to establish a repeatable process that everyone in your organization follows. Processes describe how tasks should be completed and increase your chances for a successful outcome.

It’s easier to get buy-in from stakeholders when you have a process that shows how your research will solve a problem, directly impact growth and improve customer satisfaction.

In this article, we’ll show you how to create a user research process that guides all future research projects. We’ll also walk you through the process of organizing, analyzing, and sharing research findings with stakeholders to drive action.

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The Ultimate List of UX Research Methods for Product Teams

UX research methods

In 2019, Harvard Business School Professor Clayton Christensen found that 95% of over 30,000 new consumer products launched failed every year. That’s over 28,500 product launches. 

Skipping user research may seem cost-efficient in the early days, but how can you design products for users you don’t know?

Rather than creating products based on assumptions about who your target buyer is or the problems they face, UX research provides the data that empowers you to build products your audience love. 

Knowing your audience’s needs and how they interact with your product helps you create intuitive products and make product updates that improve user experience.

So, how do you determine which UX research method to use? Can you combine several research methods for project success? 

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