Translate a research question into observable events, recording fields and pilot checks that different observers can follow consistently.
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Version 1 · 2 variables · 2 required
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Research question, population and observation setting. Default: Study how visitors find a help article in a usability lab using a prepared set of tasks.
Constructs, time limits, access and recording constraints. Default: Capture time to first useful article, visible backtracking and requests for help. Sessions last 15 minutes. No personal browsing history is collected.
Draft an observational data-collection protocol.
Research question and setting: Study how visitors find a help article in a usability lab using a prepared set of tasks.
Constructs and practical constraints: Capture time to first useful article, visible backtracking and requests for help. Sessions last 15 minutes. No personal browsing history is collected.
Translate each construct into observable indicators without inferring private intentions. Define the observation unit, event boundaries, sampling schedule, timing rules, response codes and missing/not-observable values.
Provide a compact recording form with field definitions and allowed values, followed by instructions for ambiguous or interrupted observations. Separate raw observation from later interpretation. Flag any requested construct that cannot be captured reliably in this setting.
Recommend a pilot in which observers independently record the same small set of events, compare disagreements and revise definitions. Do not invent a validated instrument, a required sample size or reliability statistics. End with unresolved design decisions.No public examples yet for version 1
Curated prompt only. No example output or model test is attached; model compatibility has not been verified. Default inputs are illustrative practice material; replace them with your own facts and context.
Reports go to moderators and are never shown publicly.
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Turn reviewer comments into specific revision actions and courteous responses without claiming changes or analyses that have not been done.
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Prioritize the main finding, section text and figures for a conference poster while preserving evidence limits and venue constraints.
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Build a source-grounded glossary that preserves differences in definitions, assumptions and measurement across fields.
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Find unmatched citations, unused references, inconsistent author-year labels and missing bibliographic fields without inventing metadata.
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Develop provisional codes with inclusion rules, exclusions and evidence anchors while keeping interpretation distinct from the source material.
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Audit existing survey items, response options and branching for leading wording, measurement ambiguity and avoidable respondent burden.
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