Open-Ended NPS Response Coding

    Uncover the 'why' behind your Net Promoter Score with AI-powered verbatim coding

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    The NPS Verbatim Challenge

    Your NPS score tells you how many promoters and detractors you have, but the real insights are hidden in thousands of open-ended comments. Manual analysis takes weeks and produces inconsistent results.

    Weeks to analyze thousands of verbatims

    Inconsistent coding across analysts

    Missing actionable insights

    AI-Powered NPS Insights

    Survey Coder Pro automatically categorizes NPS verbatims by promoter, passive, and detractor segments, identifying the key drivers behind each score.

    Automatic sentiment detection aligned with NPS scores

    Identify recommendation drivers and detractor pain points

    Compare themes across promoters, passives, and detractors

    Track driver evolution across survey waves

    Features for NPS Analysis

    Purpose-built tools for understanding your Net Promoter Score

    Sentiment-Score Alignment

    AI detects sentiment and validates against NPS scores for accurate classification.

    Theme Discovery

    Automatically discover emerging themes across all verbatim responses.

    Driver Analysis

    Identify what drives promoters to recommend and detractors to criticize.

    10x Faster Analysis

    Process thousands of verbatims in minutes instead of weeks.

    Segment Comparison

    Compare themes across promoters, passives, and detractors.

    Wave Tracking

    Maintain consistent codes across NPS waves for trend analysis.

    "We reduced our NPS analysis time from 3 weeks to 2 days while getting deeper insights into detractor feedback."
    MR

    Maria Rodriguez

    Customer Experience Director, FinServ Corp

    From NPS verbatims to action: the chain most teams break

    The NPS score is the easy part. The hard part is turning thousands of open-ended "why did you give us that score?" responses into something a Customer Experience team can actually act on. The chain has five stages and each one breaks at predictable places:

    1. Verbatim cleaning: filter "I don't know", "n/a", spam, and bot responses. In online panel studies 5-15% of feedback isn't analyzable. Skip this and your codes are inflated with garbage.
    2. Stable codebook: 25-50 codes that reflect the real product themes, not what the analyst guessed. A codebook built ad-hoc in wave 1 stops working in wave 4 when new themes emerge. You need a process to incorporate new themes without breaking historical comparability.
    3. Correct multi-coding: "the price is fine but delivery is slow" touches two themes. Coding it as one loses 40-60% of the information. Coding it with indiscriminate duplication makes frequencies uninterpretable.
    4. Cross-tab by driver and segment: the real value emerges when codes are crossed with the score (detractor / passive / promoter) and demographics. Without cross-tabs the code ranking is decorative.
    5. Wave-over-wave traceability: in quarterly tracking, a 5% change in a code is either noise or a trend depending on whether the codebook was identical across waves. Without that guarantee you report changes that aren't real.

    Anonymized real case: 8,000 verbatims in 4 hours

    A LATAM CX team was analyzing a quarterly NPS study of roughly 8,000 responses. Before Survey Coder Pro: 3 analysts, 5 days of manual coding, a codebook that mutated between waves, cross-tabs hand-built in Excel.

    5 days → 4 h

    Total coding time including human review.

    96%+ agreement

    AI-vs-analyst agreement in cross-sample of 200 responses.

    7%

    Of responses flagged for human review (vs 30-40% of full review with manual coding).

    Common mistakes when analyzing NPS without a structured pipeline

    • Reporting the % of mentions without filtering non-analyzable responses — the denominator is wrong and the driver ranking doesn't reflect reality.
    • Using the same code for "positive customer service" and "negative customer service" because the analyst doesn't want to duplicate — losing the sentiment dimension that's key in NPS.
    • Comparing waves without verifying the codebook was identical — changes between waves can be codebook drift, not consumer drift.
    How to start: with your next NPS wave, you import the verbatim, define the codebook (or we reuse the previous study's), run the AI pipeline with human review on the doubtful responses, and export to SPSS / Excel. To see a pilot with your data before committing, request a pilot or try with 250 free verbatims at the free coder.

    Ready to Transform Your Analysis?

    Start coding open-ended responses with AI today. Free trial with 250 responses.

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