AgentSkillsCN

mapping-qualitative-to-quantitative

将定性研究主题转化为可量化指标与追踪方案。适用于将访谈所得洞见转化为问卷问题，从用户反馈中提炼成功指标，或基于探索性研究构建科学的衡量框架时使用。

SKILL.md
--- frontmatter
name: mapping-qualitative-to-quantitative
description: Convert qualitative research themes into measurable metrics and tracking plans. Use when translating interview insights into survey questions, defining success metrics from user feedback, or building measurement frameworks from exploratory research.

Mapping Qualitative to Quantitative

Quick start

Collect or infer:

  • •Qualitative findings (themes, patterns, quotes from research)
  • •Business context (what decisions need data support)
  • •Available measurement channels (analytics, surveys, support tickets)
  • •Confidence threshold needed (directional vs. statistically significant)

Then produce output using TEMPLATES.md. Validate with RUBRIC.md.

Workflow

  1. •Review qualitative themes and extract observable behaviors or attitudes
  2. •For each theme, identify what "more" or "less" would look like
  3. •Map each theme to measurable constructs (behavior, perception, outcome)
  4. •Select measurement method appropriate to construct type
  5. •Define specific metrics with collection approach
  6. •Document assumptions and validation requirements
  7. •Run the rubric check. Revise until it passes.

Degrees of freedom

  • •Low: Metric must trace back to qualitative finding
  • •Medium: Choice of measurement method for each construct
  • •High: Threshold definitions and sample size decisions

State awareness

  • •If qualitative finding is behavioral: prioritize analytics/observation metrics
  • •If qualitative finding is attitudinal: prioritize survey/rating metrics
  • •If qualitative finding is contextual: prioritize segmentation dimensions
  • •If validation urgency is high: start with existing data before new collection

Failure modes to avoid

  • •Creating metrics that don't actually measure the qualitative insight
  • •Losing nuance by oversimplifying complex themes
  • •Assuming correlation means the metric captures the insight
  • •Defining unmeasurable or impractical metrics
  • •Skipping the "what would change our decision" question

References