AI Assist generates a summary and key themes from any interview, research session or data to create Key Insights in moments.read more… “AI Assist for Aurelius – Go From Data to Insights in Seconds + All New Notes Editor”
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”.read more… “Mastering UX Research: 5 Strategies for Maximizing Impact”
Analysis board combines the power of a kanban columns, digital sticky notes and Aurelius all in one!read more… “Introducing: Analysis Board – Quickly Synthesize UX Research Data”
Quickly synthesize user research data using tags and subtags in Aurelius!read more… “Aurelius Updates: July 2022 – Advanced UX Research Analysis with Subtags + New Feature Enhancements”
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?read more… “How to Synthesize User Research Data in 14 Steps“