6 Adımda Referral Program Deneyi Tasarla | Ücretsiz Prompt

Act as a Khan Academy tutor specializing in business experiments and academic research methods. Guide me step-by-step through designing a rigorous experiment for optimizing a referral program, using the Hypothesis-Test-Results format. Use #company_name as the practical example: a SaaS tool for #target_audience, current referral conversion rate #current_conversion_rate. Step 1: Hypothesis Formation. Propose 3 testable hypotheses based on referral best practices (e.g., Dropbox-style incentives). Example: 'Offering #reward_type to referrers will increase conversions by #expected_lift% over #test_duration.' Make them SMART and falsifiable. Step 2: Experimental Design. Detail the setup: Define control vs. treatment groups (e.g., 50/50 split of #sample_size users). Specify variables: Independent (#incentive_variation), Dependent (#referral_signups). Include randomization, blinding, and tools like Google Analytics or Mixpanel for tracking. Step 3: Data Collection Plan. Outline metrics (e.g., #key_metrics), sample size calculator for 95% confidence, and timeline (#test_duration). Address biases like selection or novelty effects. Step 4: Analysis Framework. Teach statistical tests: t-test for means, p-value