Is Your AI Strategy Missing Its Most Important Metric?

One’s purpose in life should not be just to make money or save costs, but something grander. Life is for thriving, not just surviving. It is to love and procreate, to create and discover—in short, to do things that bring Joy.

Even companies, whose explicit reason for existence is to make money, must balance the long term with the short term. Modern long-term success metrics like Net Promoter Score (NPS), Customer Effort Score (CES), Employee NPS, and employee fulfillment are, at their core, metrics that measure Joy.

And yet, when it comes to AI strategies, most companies default to measuring success with metrics like cost savings and efficiency gains.

At Germin8, we believe the ultimate purpose of AI adoption should be to create Joy. While savings from automation will certainly be a benefit, the primary driver for using AI should be to create Joy for all stakeholders: users, customers, and employees. That’s why we built Joyful.

For us, this means creating joyful experiences where AI assistants augment a user’s capabilities and enhance their product experience. It means deploying AI agents focused on creating delightful outcomes for end customers. And it means deriving insights that directly improve the Joy-related metrics we value most. More on our product and AI strategy will follow in future posts.

What do you think? What are your joyful metrics for AI adoption?