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RDMAICS • FREE PROCESS IMPROVEMENT TOOLS

Kano Model Analysis

Classify a feature from a functional and dysfunctional Kano response pair.

Define

Kano Model Analysis

Browser-only calculations · No input data saved

For tables: one row per line, comma-separated columns, no header row. Avoid commas inside labels. Changing an input clears previous results.

Worked example results

Kano code
O
Classification
One-dimensional / performance

Rounded for display only. Export includes the inputs, results, method and assumptions. Refreshing or leaving the tool clears entered data.

Original advanced tool & legacy export options

The original migrated on-site tool is retained below so existing features, industry samples and legacy exports remain available. It is a local page, not another Base44 app. Its older scoring conventions may differ from the transparent native helper above.

How to use Kano Model Analysis

  1. Load the worked example to see the required input format.
  2. Classify a feature from a functional and dysfunctional Kano response pair. Use consistent units, periods and definitions.
  3. Select Calculate, review the assumptions and export the result for your project evidence.

Formula and method

Use the standard five-by-five Kano evaluation table: A attractive, O one-dimensional, M must-be, I indifferent, R reverse, Q questionable.

Interpretation and assumptions

One response pair is not a market conclusion. Aggregate representative respondents. Questionable answers need clarification; reverse requirements may indicate a distinct customer segment. The preserved original offers survey aggregation.

Results support professional judgement. They are not a certification of process stability, a financial commitment or a substitute for study design.

Frequently asked questions

How do I use the kano model analysis?

Classify a feature from a functional and dysfunctional Kano response pair. Load the example first, then replace all inputs with consistent process data and select Calculate. Use the standard five-by-five Kano evaluation table: A attractive, O one-dimensional, M must-be, I indifferent, R reverse, Q questionable.

What assumptions matter for kano model analysis?

One response pair is not a market conclusion. Aggregate representative respondents. Questionable answers need clarification; reverse requirements may indicate a distinct customer segment. The preserved original offers survey aggregation.

Are my calculator inputs saved or sent to a server?

These native calculations run in this browser tab. Inputs are not sent to a server or saved by this calculator. Download the result if you need a record; leaving or refreshing clears the form.