The following are the steps to run an effective B2B experiment:
Step 1: Define Critical Hypotheses to Test: Before the lean experiment is created, define the critical hypothesis that has to be tested. It is important to focus solely on the essential hypotheses. Focus on essential hypotheses will make sure that the experiment is the tightest, and generates higher quality validated learning.
Step 2: Design a Lean Experiment: The different types of experiments that can be run in a B2B business are the concierge, the MVP, the resale, the letter of intent and the marketing campaign.
Step 3: Define Pass/Fail Criteria: A lean experiment must be measurable and empirical for it to be scientific. The exact process by which the lean experiment is run must be defined along with the count of customers involved, the data to be gathered, and the way data will be interpreted at the conclusion of the experiment.
Step 4: Pull in Secondary Hypotheses: Once the experiment is defined clearly to prove/disprove the critical hypotheses, there is an option to pull in additional lesser hypotheses. What is important is to find hypotheses that can be tested without substantially altering the experiment.
Step 5: Find an Advisor: Before the experiment is conducted, it was established that it is useful to engage an advisor to evaluate the experiment, and make the necessary adjustments.
Step 6: Run Experiment: To finally run the experiment, stick to the plan, share the data with the entire team, and make deductions from the data.