NPS Driver Analyzer

Pro v1.0.0 1 view

Analyze NPS survey responses to identify what drives promoters vs detractors. Upload CSV with scores and comments, get theme-based analysis with prioritized action recommendations.

What You Get

Turn hundreds of NPS survey comments into actionable insights with AI-powered theme analysis in minutes instead of hours

The Problem

You have NPS survey data with hundreds of comments but manually reading and categorizing them takes hours. You need to understand why scores changed, identify root causes of satisfaction and dissatisfaction, and prioritize what to fix versus what to amplify.

The Solution

Segments responses into promoters, passives, and detractors, then clusters comments into themes using TF-IDF and K-means. Calculates theme prevalence and correlates with scores to identify high-impact drivers. Generates prioritized action plans with estimated NPS point impact for each recommendation. Supports trend analysis across survey periods and segment breakdowns when metadata is provided.

How It Works

  1. 1 Load CSV and validate NPS scores (0-10) and comments, translating non-English if needed
  2. 2 Segment responses into promoters (9-10), passives (7-8), and detractors (0-6)
  3. 3 Cluster comments into themes using TF-IDF vectorization and K-means clustering
  4. 4 Calculate theme prevalence and correlate with scores to identify high-impact drivers
  5. 5 Compare trends across periods and analyze segment differences if data provided
  6. 6 Generate markdown report with prioritized actions and estimated NPS impact

What You'll Need

  • CSV file with NPS score column (0-10 numeric) and comment text column
  • Minimum 30 responses recommended for reliable theme analysis
  • Optional: Timestamp column for trend analysis across survey periods
  • Optional: Customer segment metadata (plan type, tenure, industry) for breakdowns

Get This Skill

Requires Pro subscription ($9/month)

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