A short primer on experiment design. It's need more elaboration and a concise connection with the build - measure - learn loop. Read more in my blogpost: http://blog.firmhouse.com/a-short-primer-on-experiment-design-for-lean-startups

1. experiment
design
primer on running experiments

2. experiments rock!
why run experiments?
how to design an experiment?
types of experiments

3. why run experiments?
stop wasting your time and money
test your product and vision with real people
enjoy people critizing your hard work

4. decide what to test
what is the most riskiest assumption today?
break down your riskiest assumption
set the minimum success criteria for the test
do this BEFORE the experiment

5. reverse the BML loop
learn - measure - build
learn: what do we want to learn
measure: how are we going to measure this
build: what do we need to build to get data

6. run in small batches
finding people to test might be hard
don’t wait long with launching your experiment
improve after the first small batches

7. experiment tips
go for big differences & variables
test only one thing per experiment
have multiple experiments running

8. stages of a startup
problem / solution fit
product / market fit
scale

9. problem / solution fit
you are looking for signals
get out of the building
meet your customers
expose yourself

10. product / market fit
prove your business model
would customers be disappointed if you take
the MVP away?
Set a treshold above 40% postive responses

11. scale
it’s about learning how to grow you startup
you have data to identify your starting point
loads of options on experimenting
growth hacking