Picking your first experiments
Turn segments and channels into a short list of tests you can run yourself.
With a small team you can run only a few tests. This use case is about choosing the right ones, and writing each down so you know afterwards what you learned.
The decision
Which two or three experiments should you run first?
How Wisentry helps
Wisentry connects the segments it finds to the places they gather, and turns that into suggested tests. Each one is framed as a hypothesis you can try with a small effort.
How to rank a list of ideas
A simple method many growth teams use is to score each idea on three things, then compare:
- Impact: if it works, how much does it help?
- Confidence: how much evidence supports the idea? Evidence from conversation raises it. A hunch lowers it.
- Ease: how little time and money does it take? A one-line copy change is easy. A new feature is not.
Pick one way to combine the scores and use it every time. If you work with others, score separately before discussing, so the first loud opinion does not set the number. The score is a way to order ideas, not a forecast. A high score does not promise a win.
Write the test down before you run it
For each experiment, note:
- The hypothesis: who, what you change, and what you expect.
- The signal: the single thing you will measure.
- The threshold: what result counts as a yes, and what counts as a no, decided in advance.
- The stop date: when you look at the result, whatever it shows.
Without a threshold, any result can be read as a win.
A walk-through (illustrative)
A founder has six ideas: two messages, two channels, a waitlist page and a pre-order offer. Scoring them shows the cheapest ones with the best evidence are the two messages and the waitlist page. Those become the first three tests. The channel tests and the pre-order wait, not because they are bad, but because the team can only finish a few things well. Three finished tests teach more than six half-run ones.
What you take away
- A short list of experiments tied to specific audiences and channels
- A hypothesis for each, so you know what you are testing
- A sense of what to try first and why
Watch out for
- Running too many tests at once.
- Changing the test halfway through.
- Letting a good-looking score replace thinking.
Suggestions are hypotheses, not predictions. Results come from running the tests. If you are still unsure about the product itself, start with before you build.
Example only, not a customer story.
