Imagine managing a complex product while navigating through a thick fog with your eyes closed. Due to strict security constraints, your product is installed on-premises with no external access: you are barred from seeing the customers' content domain, you cannot use their data for quality assurance, and you can't even track user actions to understand how they interact with the product on a daily basis.

As a Product Manager at AudioCodes, I faced this exact scenario while working with the Defense and Government sectors. I discovered that standard methodologies, such as analyzing usage metrics or conducting direct user interviews, were simply inaccessible or inapplicable. In this talk, I will share how we cracked the product discovery process in a "closed lab" environment and delivered significant value without ever seeing a single word of the customer's data.

Key Takeaways:

• The Shadow Persona Method: How to characterize needs through organizational "intermediaries," leveraging AI tools to synthesize partial information into a comprehensive user profile.
• Building a Synthetic Golden Data Set: Principles for creating an internal benchmark that accurately simulates customer challenges without relying on sensitive or classified data.
• The Proxy Validation Model: Using indirect signals (installation reports, support tickets, and pre-sales feedback) as quantitative success metrics to validate your roadmap.