Test Physical Products

Evaluate any physical product (i.e. clothing, durable goods, food & beverage) to determine how the product can be used.

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Solution Overview:

By using the Penalty Analysis methodology, evaluate any physical product (i.e. clothing, durable goods, food & beverage) to determine how the product can be used. An accompanying survey allows you to measure product attributes on a "Just About Right" scale to find the perfect balance that resonates with your target audience and adjust product attributes to maximize appeal.

Who is it for?

Insights and brand managers who want to optimize sensory attributes or characteristics of their product to maximize appeal.

Requirements

  1. Specify the product type and the name of the product that respondents will test
  2. Provide the key testing behavior for your product (.e.g. tasting, trying on)
  3. Provide instructions on how respondents should test your product
  4. Specify the metrics that respondents will use to evaluate your product (e.g. "too sweet" vs "not sweet enough", or "too loose" vs "too snug")
  5. Further customize your survey with a closed-ended question, two open-ended questions, and key behavior of interest for each product (e.g. purchase intent)
  6. Determine who you want to launch this survey to. (Note: This survey design is not compatible with panel sample)

Insights Captured

  • Overall key metric performance
  • 5 sensory attributes on a 'Just About Right' scale
  • Attribute severity
  • Attribute performance
  • What you get:

    Instant data analysis

    Easy and intuitive results

    Customizable charts and graphs

    Export to common formats for sharing

    Full service execution

    Executive summary report with overall product and attribute performance

    To ensure your survey data is trustworthy and reliable, this survey includes built-in bot detection, fraud prevention, and automated open-end quality checks - powered by Research Defender. For more information about these features, please contact your Fuel Cycle account lead.

    Sample Screenshots

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