Question the validity of AI outputs

One of the biggest challenges of using AI in user research analysis is establishing trust in the generated data.^[1] How can you be certain that the insights provided by AI are reliable and grounded in actual user research data and not randomly made up?

To validate AI-driven insights in user research, follow a three-step approach:

• Scrutinize the source data for quality. For instance, if gathering and analyzing feedback on a mobile app's performance, confirm that your collected user comments align with the topic and are recorded accurately.
• Rerun the analysis using the same parameters to check for consistency. While slight variations are normal, major discrepancies may indicate an issue with the AI tool.
• Manually analyze a sample set of comments. This hands-on approach allows you to independently assess if the comments align with the insights identified by the AI. If your own analysis corroborates the AI-generated insights, it strengthens confidence in their validity.