Misinformed or poor data can have wide-reaching negative ripple effects on a product and company. Product Managers know that the data and research they provide informs critical product decisions.
A key component to delivering reliable data is by taking all necessary steps to avoid survey bias. Survey bias can be mitigated in several ways during the design and implementation phase for product surveys.
In this article, we review the different types of bias and how to avoid damaging data results.