I’ve posted the recording and supporting slides for Part four of the ‘Flying Blind’ case study series, Long Term Outcomes. This installment uses the business strategy context identified in Part 3 – Foundations to consider cumulative efforts at building out new analytics products, categories, and portfolios for B2B / enterprise in the pre-GenAI era of machine intelligence. The retrospective covers products and services my product development group originated, as well as representative related and competing offerings from relevant categories across the product landscape, and looks briefly at one company addressing the whole value chain.

Summary:

A 10-year retrospective covering long-term business and product strategy outcomes for new products / portfolios / categories in the AI and business analytics space. This is the fourth installment of an extended case study on B2B / enterprise product strategy titled ‘Flying Blind On a Rocket Cycle: Customer-Centered Product Strategy For Machine Intelligence’ originally offered at ProductCamp Boston 2024.

Part 4 topics:
1. Strategy foundations recap
2. Business strategy and product context: analytics products for emerging spaces
3. Review of product strategy, product investment cycles, and product outcomes
4. Review of business strategy cycle and outcomes: new product categories, machine intelligence product landscape, value chain

Here’s the video.

And here’s the slides.