Modern user research platforms are using AI to turn raw feedback into structured insights, but the quality, depth, and traceability of those tools vary significantly. Enterprise teams need AI features that produce defensible, evidence-based output tied directly back to source content, not just... Lire la suite
Many enterprise companies want more than ad-hoc beta tests. They want a managed, ongoing community of their own customers, employees, or advocates who can be tapped for feedback continuously across products and features. This is sometimes called "always-on" feedback, a customer advisory program,... Lire la suite
Enterprise procurement and IT security reviews typically require detailed information about a vendor's security posture before approval. For a beta testing and user research platform, that includes authentication, user lifecycle management, data handling, audit trails, and formal compliance... Lire la suite
Many user research and beta testing tools have started offering "AI personas" or "synthetic users" as an alternative to recruiting real participants. Enterprise teams are trying to figure out where AI personas help (early-stage exploration, hypothesis generation, fast iteration on copy or... Lire la suite
Je n'arrive pas à décider ce qui est mieux pour identifier et atténuer les vulnérabilités de sécurité : un test de pénétration ou un programme de chasse aux bugs ? Les deux semblent avoir leurs propres avantages et limitations, et j'essaie de déterminer la meilleure approche pour mon... Lire la suite
I've always wondered what the general image of a hacker is. I've seen changes over the years and I'm curious about your opinion? Is your image positive or negative and why?
We have 300 tests in Rainforest but we are having a challenge with the data cleanup in the UI. We also want to make our test more reliable and easy to maintain as we need to change the screenshot when we change the test data. Is there any way to prevent this?