Kano-Style Feature Survey and Prioritisation Worksheet
Design a Kano-style survey to classify features as must-have, performance or delighter and turn results into a priority list.
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Help me run a Kano-style feature survey. Product and user group: [PRODUCT_AND_USERS]. Candidate features (maximum eight) with a plain description each: [FEATURE_LIST]. Number of respondents I can reach: [RESPONDENT_COUNT]. Decision to inform: [DECISION_TO_INFORM]. Other data I have (usage, requests): [OTHER_DATA]. Produce: an explanation of the Kano idea in five sentences; for each feature a pair of questions (how would you feel if the feature were present, and if it were absent) with the standard five answer options, written clearly in the user's language; the standard evaluation table that maps each pair of answers to a category (must-be, one-dimensional, attractive, indifferent, reverse, questionable) presented as a grid [VERIFY against a trusted Kano reference]; a worksheet table with the columns Feature, Count per category, Most common category, Share, Notes; and a guide for combining the result with cost and strategy to build a priority list, without treating the survey as the final answer. Include a survey length check (number of questions and expected minutes), a sampling and bias note, and a plan for open follow-up questions with five respondents. Show a worked tally for one feature with the arithmetic for percentages. Do not invent respondent data or claim statistically strong findings from small samples. Do not decide the roadmap from this alone; say what other evidence is needed. Mark survey tool features [VERIFY]. Add a worked example with invented figures: 40 respondents for a feature called "saved filters", with 18 attractive, 12 one-dimensional, 6 indifferent, 3 must-be and 1 questionable.
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