A deep dive into placeholder demand—how to forecast when you have little to no historical data. We cover methods like analogous analysis, expert panels, the Delphi technique, and targeted market research; discuss risks of misestimation and how to mitigate them with iterative refinement, phased rollouts, and real-time signals; and explore how AI/ML and blockchain boost speed, accuracy, and transparency in early-stage demand planning. Plus a look at future trends shaping agile product launches in volatile markets.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

Sponsored by Embersilk LLC