{"id":226,"date":"2012-07-05T21:13:00","date_gmt":"2012-07-06T02:13:00","guid":{"rendered":"http:\/\/starpointgroup.com\/?page_id=226"},"modified":"2023-08-30T16:28:06","modified_gmt":"2023-08-30T21:28:06","slug":"qualitative-product-feature-optimization","status":"publish","type":"page","link":"https:\/\/www.starpointgroup.com\/research-capabilities\/our-unique-capabilities\/qualitative-product-feature-optimization\/","title":{"rendered":"Qualitative Product Feature Optimization: q-PFO"},"content":{"rendered":"
\nOf all the capabilities we could incorporate in our new product, which collection of features and benefit levels will have the optimal appeal among members of the target consumer group\u2026?\u00a0\u2013 Business Development Manager, Very Large Tech Corp<\/cite><\/h4>\n<\/blockquote>\n<\/div>
QUALITATIVE PRODUCT FEATURE OPTIMIZATION: Q-PFO<\/h3>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
A QUALITATIVE APPROACH TO ASSESSING PRODUCT FEATURE TRADE-OFFS<\/h6>\n<\/div><\/div><\/div>
Letting Your Customer Build the Optimal Product.<\/strong><\/p>\n
Qualitative product feature optimization (q-PFO) uses a structured interview protocol resembling the \u201cbuild-your own\u201d method for ordering high-tech consumer products online. This technique was developed initially to identify an optimal feature set for a new line of digital cameras. Though qualitative in nature, the procedure incorporates feature level choices, cost calculations and feature level trade-offs associated with adaptive conjoint analysis (ACA). Using this approach, target customers specify an optimally configured product conforming to a preset price ceiling.<\/p>\n<\/div><\/div><\/div><\/div><\/div>