Pricing Experiment Worksheet
ProductQuant tool for structuring B2B SaaS pricing experiments before launch.
Name the test before the page changes
Need a second opinion?
If the team is not getting clearer on what works and what doesn't, and results are not improving as much as you need, the issue is probably not only pricing. The audit is built to diagnose what layer should be tested first.
Answer the 4 questions first
If any answer is vague, the experiment is not ready yet.
What are we testing?
Price point, packaging, value metric, contract term, discounting logic, or sales path.
Who is exposed?
New demand, one segment, expansion accounts, or existing customers.
What trust is at risk?
Fairness, simplicity, predictability, buyer confidence, or willingness to commit.
What counts as a real result?
Not just conversion. Include quality, objections, discount pressure, and retention risk.
Write the experiment cleanly
Define the signal and the stop rule
Capture what happened
Use this after the rollout window ends so the next pricing decision does not start from zero again.
| Date | Observation | Meaning | Decision |
|---|---|---|---|