The hottest A/B Testing Substack posts right now

And their main takeaways
Category
Top Business Topics
First 1000 904 implied HN points 25 Apr 23
  1. Bigger numbers are not always better, especially with weaker value propositions.
  2. In A/B testing, a smaller increase in a valuable metric can be more appealing than a larger increase in a less valuable one.
  3. Acquiring your first 1000 customers requires experimentation and finding the right approach.
Data Analysis Journal 235 implied HN points 28 Jun 23
  1. Embracing accelerated testing in the modern data analysis landscape is essential for success.
  2. The current traditional academic workflow for A/B testing may not be suitable for the evolving landscape of experimentation.
  3. To thrive in the era of rapid feature flagging and A/B testing, teams need to adapt by automating statistical checks, simplifying documentation, and eliminating bias.
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The SaaS Baton 117 implied HN points 26 Apr 23
  1. Running A/B tests on SaaS products has unique challenges beyond just having enough users for statistically significant results.
  2. Incorporating minimal clear constraints in projects can drive creativity and productivity, as seen in Buffer's Build Week.
  3. Establishing indirect growth channels, like Gusto did with accounting firms, can create network effects and be a win-win for both parties.