To track changes in participant satisfaction with new features across multiple releases, the program manager needs a data-collection method that produces ordinal, statistically analyzable results. Which technique best meets this requirement?
Track adoption rates of the new features using application-usage analytics dashboards
Measure the number of unresolved defects reported to the service desk
Distribute a post-release Likert-scale survey asking participants to rate their satisfaction numerically
Hold informal focus-group discussions to collect narrative feedback
Post-release surveys that use Likert or other numeric rating scales produce structured, ordinal data. This allows the program team to run statistical analyses and trend satisfaction levels release over release. Focus-group narratives are qualitative, usage analytics measure behavior (not sentiment), and defect counts show product quality issues; none directly capture and quantify how participants feel.
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