Nico, a senior user researcher at Eventbrite and a professor of UX at a university in Argentina, recently shared his experience using Altis in an interview, revealing just how transformative the tool has been for his research work.
At Eventbrite, Nico was working on a challenging research project that involved exploring and understanding how small entrepreneurs and small and medium event creators managed their finances and business models. This required conducting numerous interviews and analyzing a vast amount of raw data, which was both time-consuming and laborious. Nico also had to ensure that the research findings were presented in a way that would help the team empathize with the users' pain points and goals.
To address these challenges, Nico decided to give Altis a try. He was initially curious and worried about how the tool might affect his job as a researcher. However, he was soon surprised by Altis's ability to quickly generate results that matched his own analysis. Nico was impressed with how the tool could identify patterns in the data that he might have missed and provide him with insights that helped him better understand the users' experiences.
Setting up and using Altis was straightforward and easy for Nico. He was able to get started with the tool in a matter of days and quickly began experimenting with different ways of interacting with the data. He found that Altis gave him the freedom to play with different research questions and be more creative with naming the different segments of his research. The tool was particularly helpful in this regard, as the way in which researchers name and conceptualize ideas can have a significant impact on the team's understanding and implementation of those ideas.
Altis had a profound impact on Nico's work. The tool gave him a sense of legitimacy and validation for his analysis, as it was able to generate similar results to his own findings. He used the tool's results and insights to create a more robust and nuanced presentation of his research, which impressed his colleagues, and he received positive feedback when he presented this work to his team.
Altis empowered Nico to do his best work by giving him a quick and easy way to interact with his data. The tool allowed him to step back and play with different research questions and approaches in a way that he might not have been able to do otherwise. He found that the agility of the tool allowed him to quickly come up with new ways of looking at the same data.
Overall, Nico believes that Altis will transform the future of user research. The tool will not replace the role of the interviewer or the importance of the interview process, but it will give researchers a new way to interact with their data. The scale of qualitative research may increase, as researchers are able to analyze more data in less time. The need for creative and impactful storytelling in research will also become more important, as the rapidity of getting results from the raw data will give researchers more time to focus on the narrative of their findings.
In conclusion, Nico's experience using Altis has been incredibly positive, and he recommends that other researchers give it a try. The tool's powerful capabilities have transformed the way in which he approaches user research, allowing him to generate insights quickly and easily. As Altis continues to evolve, it will be exciting to see how it further impacts the field of user research and what new possibilities it can open up for researchers.