As product leaders, most of us have spent the first few weeks of the COVID-19 crisis focused on (worried about) our people and teams. But we’re now shifting attention to how this changes priorities and product plans…
Sending an expensive B2B sales team out to discover what we should build isn’t a great strategy. We should do less expensive, unemotional, non-commissioned validation and learning before scaling up our selling effort.
There are no generic or universal KPIs, since every business has unique aspects. So if we want KPIs for a B2B/enterprise company, where would we start? And how do we avoid committing to improvements in metrics/KPIs before understanding our current scores (or situation)?
As product folks, we should be responsible for reasonably anticipating misuses of our products, as well as harm that flows from fundamental product/economic goals. It’s not clear how we step up to this, though.
Restructuring product management teams is challenging: there’s no universal “best practice” or generic org chart, and people issues are the tough ones. We step through two examples of redefining what product folks do…
Product managers working with data science teams on production applications have more challenges than with more deterministic (traditional) applications. These include providing more business/user context, not assuming that data will be predictive, and discussing accuracy requirements at the very start of a project.
I talk with lots of senior individual contributors about the risks and challenges of moving “up the ladder” into product leadership roles. Here’s a survey I fielded to capture their top questions and concerns about getting promoted. What do product leaders do? How do product managers signal their interest in becoming one?
Industrial hardware and enterprise software are both great business, but have very economics, scorekeeping, and development models. To run a strong software business, we may need to retool some operating processes as well as executive assumptions.