Don’t build ChatGPT for X. Focus on where ChatGPT doesn’t solve X
A lot of AI products are essentially ChatGPT for X, but oftentimes ChatGPT is not the ideal user experience for X. Instead of trying to make a better chatbot than OpenAI, focusing on solving X specifically will often lead to a very different UX (not a chat interface).
Product
July 26, 2024
Why the Modern Data Stack Doesn’t Replace Embedded Analytics
While the modern data stack offers robust data capabilities, it also has limitations.
Product
July 23, 2024
Why Users Want Customer-Facing Analytics
Due to low barriers to entry, abundant capital, and tens of thousands of ambitious founders, the SaaS industry has become one of the most competitive markets in the world. As a result, customers’ expectations have risen dramatically.
Just like the look & feel of analytics may differ, you’ll hear various explanations for why a specific company wants to offer customer-facing analytics
Product
July 12, 2024
Don’t build ChatGPT for X. Focus on where ChatGPT doesn’t solve X
A lot of AI products are essentially ChatGPT for X, but oftentimes ChatGPT is not the ideal user experience for X. Instead of trying to make a better chatbot than OpenAI, focusing on solving X specifically will often lead to a very different UX (not a chat interface).
Product
July 5, 2024
What is “customer-facing analytics”?
“Customer-facing analytics” describes any data or insights feature in your product that your end-users interact with. Customer-facing analytics are ubiquitous across all kinds of software products, whether consumer, B2B, marketplace, data app, or tech-enabled service. Some common examples of customer-facing analytics are charts & graphs, data tables, dashboards, reporting tools, or even self-service analytics.
