Data-fueled products are a new tool for designers and data scientists to use when building digital experiences. Data-fetching algorithms and pattern-finding algorithms are two distinct tools that contribute to building digital experiences. Machine learning (ML) algorithms in data-fueled products are a powerful tool for experience design professionals because they enrich the designer’s palette, assist in helping users make choices, and apply to many vital decisions (not just entertainment recommendations). Companies that fail to correct biased models risk legal challenges and customer abandonment.