We have information about “must-haves” from the QNR before the ACBC.
We introduce (binary) features and get respondent ratings as
- "not interested" (excluded from ACBC, coded as "0" utility),
- "not a priority but nice" (autopopulated in BYO screen as level "n/a" selected to reduce frequency of inclusion)
- "relevant and/or attractive" (autopopulated in BYO screen as level "included" selected to increase frequency of inclusion)
The idea to use the latter response as if this was the responses gathered in the “must-have” questions inside the ACBC. Somehow the “must-have” questions trigger the design algorithm to focus on corresponding concepts.
Can this be piped into the ACBC without showing the equivalent question there (again)? Rather than on-the-fly we’d like to have this effect from the beginning of the screening on.
Is there any code (Perl, JS) that can inform/steer the ACBC in the same way that the on-the-fly questions do? We find these ACBC responses reflected in the data set so can we write such values via code as well?