|Broad Use Cases||Use Cases for Product Management|
|Summarisation of a long body of text||Summarising large amount of texts for requirements analysis
chatGPT is surprisingly competent at summarising text eg for condensing a whole list of free-form product requests from customers into a couple of pithy themes.
|And the inverse, extrapolation of short body of text.||Writing product descriptions for product marketing.
a. Reinterpreting features to benefits
b. Rewriting product marketing copy for particular audiences
|Variation of an existing body of text||Wearing your product marketing hat, you have written some descriptive words, but they need some help or the body of text needs to be shorter to fit into a text box on the website or on your PowerPoint.|
|Initial research into a topic or industry||As Product Managers, we spend a lot of time trying to make sense of a market / customer / technology / product / service. I can see myself using chatGPT as a great start to understanding the four walls of a market.
Market research: what do I need to know about XYZ? What’s new and important in the XYZ sector? Who has the competitive advantage and why in XYZ sector?
It’s great a high-level summaries, but not good enough for the details that matter.
One great advantage is that it can create consistency when you have review or compare work from multiple teams. By getting your teams to start with ChatGPT's output, then at least all the teams have started from the same point with their use case (not using a template).
What it won't do effectively?
Some have claimed that it could be used to write product requirements. Nope – well, not to a meaningful level and certainly not good enough to give to a developer.
Cute Use Cases
- There’s one elegant use case of writing a Value Model Canvas.
- I Interviewed ChatGPT for a PM role, and it almost got the job
- Who are their investors - it's always useful to know where the money flows.
- Y Combinator
- Peter Thiel (founder of Paypal)
- Reid Hoffman Foundation (founder of LinkedIn)
- Khosla Ventures
- Elon Musk did invest, but has now sold off his stake
- Microsoft Ventures ($1bn investment in 2019 + MS has built a supercomputer in Azure to support OpenAI ML research)