How do you quantify 'useful interactions' to prove progress?

‘Useful interactions’ are things that show real, repeatable value from the Digital Twin, not vanity metrics. Start by identifying the core questions the twin is meant to answer and track how often those questions are answered correctly and consistently. Look for a drop in repeat questions over time, clearer service context, and improved user satisfaction with the outputs from the public-facing page. Then define concrete steps you can measure: updates to the Digital Twin (new Q&A, added images, refined categories), a pilot with an actual client, and a documented time-based improvement in how people interact with the outputs. Track observable AI-visibility signals (discovery, retrieval, referrals) as evidence of progress, while keeping in mind they do not guarantee sales. Finally, keep the milestones concrete and public-ready: publish-ready Digital Twin, a client-facing outputs page, a defined pilot, and a period of measured improvements. Use those as proof points rather than hype.