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Measuring Non-Linear User Journeys: Rethinking Funnels Metrics in A/B Testing

Measuring Non-Linear User Journeys: Rethinking Funnels Metrics in A/B Testing

Published 2 months, 3 weeks ago
Description

This story was originally published on HackerNoon at: https://hackernoon.com/measuring-non-linear-user-journeys-rethinking-funnels-metrics-in-ab-testing.
A deep dive into user reorders, hidden behavioral patterns, and how aggregated funnels improve A/B test accuracy in non-linear user journeys
Check more stories related to product-management at: https://hackernoon.com/c/product-management. You can also check exclusive content about #user-journey, #ab-testing, #data-analysis, #funnel-analysis, #data-driven-decision-making, #user-behavior-analytics, #good-company, #business-metrics, and more.

This story was written by: @indrivetech. Learn more about this writer by checking @indrivetech's about page, and for more stories, please visit hackernoon.com.

InDrive users create an order, receive bids from drivers, choose a suitable one, waits for the driver to arrive, and then starts and completes the trip. In some tests, conversions at the stages that precede the implemented changes can change in a statistically significant way. In this article, we explain how we investigated these behavioral patterns and, based on them, introduced new metrics that helped make test results more interpretable.

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