To avoid getting too buried in unfamiliar terms or one specific methodology my goal is to introduce granularity and detailed response without the risks of low value responses or drop-out. Hot deck imputation is a method used to fill the gaps between unassigned blocks of questions. The use of auxiliary variables serve to link answers with preserved correlations.
Hot deck imputation involves replacing missing values of one or more variables for a non-respondent (called the recipient) with observed values from a respondent (the donor) that is similar to the non-respondent with respect to characteristics observed by both cases.--Rebecca R. Andridge and Roderick J. A. Little
The Council of American Survey Research Organizations or CASRO presented a research paper Cyborgs vs. Monsters: Assembling Modular Mobile Surveys to Create Complete Data Sets.
Proceedings of the Association for Survey Computing share a similar "block" method of breaking surveys into manageable units. Shorter Interview, Longer Surveys: Optimizing the survey participant experience whilst accommodating ever expanding client demands illustrates the block approach separated by splices in the survey. The green blocks below indicate which data "block" is included in each split.
For example, if there are 500 questions, they may be evenly distributed in 10 blocks with each block containing 50 questions dictated by themes under investigation. This block structure is subsequently used to generate split questionnaire design, whereby the total population of respondents is split into several groups and exposed to different sections of the questionnaire. For example, 2000 total participants in a 10-split design equals 200 participants for each split. With the “between block design” each split consists of selected blocks and participants answer all questions in the block.Here, it is also assumed that splits are distributed randomly and evenly amongst participants.--Halder A, et al.
Skip logic can also be useful for creating a question hierarchy where certain responses assign unique algorithms and procedures with split questionnaire design--to break longer surveys into "split" or shorter surveys.
The trick is to explore and discover new ways to expand the quality of the data you are collecting--perhaps a monster or a cyborg is all you need...