Claire (Sunbee)’s Reviews > The Lean Startup > Status Update

Before launching an idea, first we must test a hypothesis about the customer and then we create products that address this need.

Learnings: do small tests first rather than doing things in large batches.

This is helpful because you can iterate on a limited run before commissioning a larger team and more resources to produce in bulk. For ideas, do small-scale launches, release em, learn from the data (make sure you have a hypothesis) and then improve until it makes sense to do it on a wider scale to reduce edit time

Favorite story so far is the Grockit case study.

When I read business books, I always search up brands and see whether they survived and are thriving in the present-day since the book was published. Unfortunately for Grockit, they stopped operations in 2016. Must be politics? But interesting execution

Inchresting premise but man, a good percent of the meaty examples are all reliant on the author’s own startups. Which is fine I guess since it’s his book?

But it doesn’t really show the capacity and capability of other people taking his idea and achieving success with it in a different industry from IMVU. Or maybe I’m just too critical and they’ll give other examples later on

Validated Learning stands out to me so far. Essentially, we must ask our customers what they like about our product, update the product, and then run another test.

Wondering what the sufficient sample size is to take the customer’s word as empirical evidence before going ahead with testing or updating the product. Also, seems more concrete output based rather than project based. I may be getting ahead of myself