The majority of optimal product manager activities depends entirely on the maturity and nature of the product. Product managers should be acutely sensitive to the precise circumstances of their product and act accordingly. While there are some common threads, this leads to a very wide range of day-to-day activities. What you should definitely not do is follow a fixed recipe.
I’ve explained a few examples of how the phase of your product should dictate your activities day-to-day.
1. You’re developing a new product with a hypothesis that is yet to be tested. All your activities should be focused on validating or invalidating the hypothesis as quickly and cheaply as possible.
What you should be doing:
- Working on a framework for judging the success or failure of the product. There are many forks in the road you’ll have to navigate such as deciding whether the best feedback mechanism is qualitative or quantitative and figuring the right people to expose your product to. You may end up with nontraditional metrics or feedback mechanisms.
- Designing the minimal viable product (MVP) necessary to test the product hypothesis. Different types of products require different dimensions to be fleshed out (design, functionality, etc..). You need to decide the minimum set of work necessary for learning.
- Ruthlessly prioritizing feature development. You must keep the engineering team working only on the features required to test the MVP. Everything else is waste.
What you should not be doing:
- Optimization. In this stage, who cares if you can increase click through by 5%? You’re trying to decide first whether your company should invest a ton of money in this direction.
- Guiding the engineering team through major architecture decisions. Anything you think you know about the product is wrong.
- Allowing the development team’s focus to become fragmented. Your company’s management team may become impatient waiting for your results. It’s your job to keep the development team insulated from management thrashing until the results of your experiments are clear.
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