AMA: Care Solace Chief Product Officer, Vasudha Mithal on AI Product Management

It is an exciting time for PMs to evolve their toolkits! Good PMs will have a killer AI stack that they will modify depending on their industry, user case and product stage. Use the right AI tool at the right time. Additionally, a lot of core PM skills will become even more important: successful release planning, stakeholder alignment, deep user empathy, business acumen. Another key area will be to get good at identifying opportunities to upgrade your tech infrastructure to be more groomed for u ...Read More

I'd approach this with any risk vs. reward framework. Autonomy >> User Control is introducing more risk. Do you get enough of a reward for that? Autonomy << User Control is way less risk. Do you get enough payoff to justify the investment? Depending on your specific scenario, you can design a simple scoring mechanism to evaluate the options. Ensuring transparent use of AI is a general rule of thumb that can allow you to introduce more and more autonomous workflows in a safe and effec ...Read More

Absolutely! AI has been a massive productivity boost. A few loud and clear examples: Prototyping tools have now become an everyday playground to brainstorm new ideas, get exec alignment, presentations, etc. PMs are using prototypes for user research and to even run small scale product tests with zero engineering involvement. It is boosting productivity to translate bullets to a document of choice - PRD, newsletter or a presentation. ChatGPT agents help us run quick user research on our web pages ...Read More

Generally, there is a lot of awareness and excitement about the potential of AI. The specifics depends on the type of customer you are looking at. Enterprise - One of our customer segments is healthcare practitioners and admin staff. We learnt that they are very much open to including more AI in their workflows whether that is to facilitate appointment bookings, facilitating pre-intake tasks or post-visit workflows. Consumers - This is more nuanced. While there is an interest (and loads of oppor ...Read More

As prototyping and actual development gains more and more velocity, the true bottleneck is increasingly becoming to narrow down on the correct user problem to focus on. This is where creating a highly functional user research system becomes an essential area of focus for the product teams. AI is playing a good role here already (and still has a LOT of scope to scale in a cost effective way). Companies like Outset.AI are offering various real-time tools for user research. Reforge Insights (link) ...Read More

This really depends on how you segment your customers but as a general example: Start with internal users first. Member support, operations, finance are all great places to start. Next, enterprise users would be a broad spectrum. Front-desk, back-offices or admin users are most likely to have use-cases that can be improved with AI. Finally, direct to consumer segment. This is hard, not so much from a user adoption point-of-view but more from the perch of release management, internal company stra ...Read More