### Product changes

Product changes — whether to ingredients, formula, packaging, or branding — can have real consequences for consumer loyalty. Highlight helps brands understand the risk before making a change that could drive away their most loyal customers. Through a robust, in-context quantitative evaluation, Highlight measures the true impact of a proposed change on current users and helps teams set data-driven action standards for moving forward.

Whether you use co-determined action standards or Highlight’s best practice formula rooted in consumer preferences and overall liking, you’ll walk away knowing exactly what the risk is — and what to do about it.

**Key Questions Addressed**

- We are considering a product / formula / packaging change — is this going to alienate my current consumers? What will the magnitude of this change be?
- What new product / formula / packaging should I institute that will minimize the impact on my loyal consumers?

**Common Outcomes**

- Alienation impact — quantitative understanding of the impact of product change on current consumers
- Performance scorecard — relative metric performance of in-market vs new
- Penalty analysis grounded in sensory metrics
- Open-ended themes around reasons for performance — likes, dislikes, (if applicable, head to head favorite and why)

**Methodology Guide**

Quick Hits

- Quantitative
- N=200+ (At least n=100+ first reads)
- Sequential Monadic
- ~3 weeks turnaround (ship to results)

Typical audience: current / lapsed users of the specific product being changed

_For more information on designing your audience and sample size, see_ **[here](/content/help/audience-sample-size/index.html)** _._

**Standard Inputs (Highlight Blueprint)**

- Overall Liking
- JAR scales for key sensory / product attributes relevant to the change being made
- Comment on Likes
- Comment on Dislikes
- Head-to-Head Preference (if applicable)
- Purchase Intent

_\+ Can add from any of our available / recommended questions and/or write your own_

**Stimuli:** physical product samples of both current and new product versions sent to participants, fully blinded

**Standard Outputs**

- Alienation impact score — quantitative measure of product change risk among current consumers (see **[here](/content/help/alienation-analysis/index.html)** for more details)
- Performance scorecard comparing in-market vs new product across key metrics
- Penalty Analysis grounded in sensory metrics
- Summary of key themes from open-ended questions (likes, dislikes, preference rationale)
- Data visualization for all survey questions
- Crosstabs with customizable banners + statistical significance testing

_Reach out to your Customer Enablement rep if you have any questions about leveraging Highlight for this use case!_

Still need help? [Browse the Help Center](/content/help/index.html).