A key element in training an effective machine learning model is enabling the ability to generalize well. Finding a right fit is an important step in that process.
The metadata of machine learning training data is borne from people. Any playbook that speaks to data labeling must be centered around people.
Prioritization frameworks can be helpful tools to determine which products, features, and projects should be focused on and placed on the roadmap.
Your customer is at the core of the purchase journey and optimizing any marketing funnel begins with just that: the customer.
Segmentation also helps you design the right marketing mix for your target market so you can add more value for your customers.
Plato’s tripartite soul can help us address the needs of customers by appealing to the different decision-making centers of a person.
Taking your product to market involves the 4Ps and being aware of who the customer is.
Telling a consistent story across initiatives solidifies the message to prospects and for everyone else.
Jugaad offers tangible lessons for the product marketer, including on how to operate with constraints, think with first principles, and deliver greater value through empathy.
Validating both externally and internally can help you track the efficacy of your messaging.