Most founders don't run enough experiments.
Here's how to build a simple system that forces you to run growth experiments every week --- and runs them for you.
A simple system that runs like this:
Go to Jotform and create a new form.
Add these fields:
Add one required field:
This forces every idea to be clear before it enters your system.
In Jotform: Settings → Integrations → Google Sheets → Connect
What happens: When a form is submitted, a new row is added to Google Sheets.
This sheet becomes your experiment tracker.
Go to Zapier. Create Zap
Action 1 --- Generate experiments (ChatGPT)
Paste this (or similar):
Generate 5 growth experiments for a bootstrapped SaaS founder.
Business:
[describe product]
Audience:
[describe audience]
Rules:
- Must be testable in 7 days
- No engineering required
- No paid ads above $100
Return:
Experiment Name
Channel\
What to change
Metric
Hypothesis
Action 2 --- Send to Jotform
Result: Every Monday → 5 experiments are automatically added to your system
You no longer ask: "What should I test?"
Add another step in the same Zap:
Paste this (or similar):
For this experiment:
{Experiment Name}
Give:
- 5 headlines
- 5 hooks
- 3 offers
Then map the output to the "AI Variations" field in Jotform.
Result: Each experiment now includes ready-to-use variations.
During the week:
That's it.
No dashboards. No complexity.
Open your sheet.
Each row = one experiment.
For each experiment, enter:
This takes just a few minutes.
This happens inside Google Sheets.
Set your columns first
Make sure your columns look like this:
Add a new column called: Conversion Rate
Click the first cell in that column (example E2) and type:
=C2/B2
Press Enter, then drag the formula down.
Add another column called: Z Score
Click the first cell (example F2) and type:
=(E2 - D2) / SQRT((D2*(1-D2))/B2)
Press Enter, then drag down.
Add another column called: Winner Flag
Click the first cell (example G2) and type:
=IF(AND(B2>100, ABS(E2)>1.96), "Winner", "Keep Testing")
Press Enter, then drag down.
What happens now
After you enter:
Google Sheets will:
Then it will label each experiment: Winner or Keep Testing
Important: This is just a quick check. It may not always be right. Use it to spot good experiments, then review them.
In Zapier:
Message (or something similar):
You have a winner:
{{Experiment Name}}\
Conversion Rate: {{Conversion Rate}}
Review now.
Result: When something works, you get notified automatically.
1. Keep it small. Run a small number of experiments per week (1-3).
2. Use simple tests. The best ones are:
3. Be consistent... consistency beats creativity.
4. Don't overthink stats. Good enough is good enough. You don't need perfect math. You need clear direction.
allthough it seems a bit complicated .. i think it will be useful in long run - thanks for sharing
Love the transparency
This is a really useful framework.
I’m probably not at the stage yet where I need a fully automated experiment system, but the core idea makes a lot of sense: stop guessing, run small tests every week, and actually write down what worked.
As an early builder, I think even a simpler version of this could help a lot — one sheet, 1–2 experiments per week, and one clear metric.
The biggest takeaway for me is consistency. It’s easy to keep thinking about growth, but much harder to keep testing it every week.
Yeah, I totally agree, but don't you think a founder already has enough on their plate? Going through the complex architecture and UI of tools like Zapier or n8n just makes them scratch their head even more.
I've been working on solving exactly this problem for the past 2 months. I'm the co-founder of Autom8AI , we let you build these workflows just by describing them in plain English. No nodes, no drag-and-drop complexity.
Would love to know what you think ( visit at Autom8AI with io as domain )
This is useful because it turns growth into a repeatable habit instead of something founders only do when they feel stuck.
The part I like most is the weekly rhythm: new experiments, run 1–3, enter results, then let the system show what actually worked. That removes a lot of guessing.
One thing I’d be curious about: how do you decide which experiments are worth running first? Do you rank them by effort, expected impact, funnel stage, or just rotate through ideas every week?
This is actually a really smart lightweight experimentation system. Most founders get stuck waiting for the “perfect” strategy instead of just testing consistently. I like that the workflow removes idea fatigue and keeps everything measurable without needing a huge analytics stack.
Love the transparency. Just started building in public myself this week. It's scary but the feedback is invaluable.
There's a bug in the Winner Flag formula. You have:
=IF(AND(B2>100, ABS(E2)>1.96), "Winner", "Keep Testing")
But E2 is the Conversion Rate column, not the Z-Score. A conversion rate is between 0 and 1, so ABS(E2) > 1.96 will almost never be true. The formula should reference F2 (the Z-Score):
=IF(AND(B2>100, ABS(F2)>1.96), "Winner", "Keep Testing")
With E2, the system will almost never flag a winner even when results are statistically significant.
Solid system, but the bottleneck for most early-stage founders isn't the workflow, it's the willingness to call something a loser and kill it. I've watched founders run this kind of process and then keep variants alive 'one more week' for sentimental reasons until the data goes stale. The consistency point at the end is the actual unlock. One add: at sub-1,000 weekly visitors the z-score will almost always say 'Keep Testing,' which is technically right but operationally useless. For early-stage products, swap the statistical filter for a 'directional plus repeat' rule. If a change moves the metric in the right direction two weeks in a row, treat it as a winner.
The feedback engine framing is exactly right, generate, test, score, reinforce. Most founders treat distribution the same way they treat experiments: random and inconsistent. Curious, are you applying this same system to content distribution or just conversion testing?
The interesting part here isn’t the automation.
It’s that you’re turning “growth intuition” into a repeatable operating system.
Most founders still run experiments randomly:
idea → test → forget → repeat.
What you built is closer to a feedback engine:
generate → test → score → reinforce.
That layer becomes much bigger than “weekly growth experiments” if you keep pushing it.
Also feels like the product may eventually outgrow educational/system-style branding into something more infrastructure-grade.
Names like Xevoa.com, Beryxa.com, or Exirra.com would fit that direction unusually well.
The infrastructure angle is interesting, most growth tools stay educational and never cross into actual operating layer. Are you building something in this space yourself?
Not building a growth tool.
I work more on the naming and positioning side for early products.
That’s why the infrastructure angle stood out.
If the product stays as “growth experiment ideas,” the current frame may work.
But if it becomes the layer founders rely on to decide what to test, score what worked, and repeat what compounds, then the brand has to feel more like a system than a course or template.
That’s where names like Xevoa, Beryxa, or Exirra start making more sense.
They give the product room to feel like operating infrastructure, not just another growth playbook.
I’d use this more as a discipline system than a magic growth system. It keeps you honest: what did we test, what happened, what are we doing next?
gonna try this stat. thanks!