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GRIT

May 28, 2024

Why Insights Improve When Survey Respondents Pay You

Gain insights on customer profiles, pricing, & product usage with our survey platform. Incentivize with deposit payments for accurate data & feedback.

Narek Vardanyan

by Narek Vardanyan

CEO at Prelaunch.com

Do you really trust survey responses?

We ran a study recently trying to compare all of the most popular survey tools and methodologies. What we found surprised us.

Identify Your Audience Before Your Launch

How do you gather insights about an innovative hardware product concept before the launch?

We wanted to understand who the product’s ideal customer was, how much they were willing to pay, how they would use the product, and how they would improve it. And we needed to be sure the insights we gathered were trustworthy and valuable.

Paying $5 vs Charging $5

We gave the same instructions to each survey tool, identified similar niche audiences, and asked them the same questions. 

The only difference was that while all survey platforms required us to pay respondents $5 to participate, on Prelaunch.com people paid us $5 to participate.

This $5 deposit ‘reserves’ respondents the right to purchase the product at launch and is the most reliable indicator of future purchase intent.

Valuable Responses Only Come From Those Who Understand the Value

All paid surveys followed a similar pattern. Respondents gave the bare minimum that was required of them — short, vanilla responses.

On Prelaunch.com, the opposite was true.

People had strong, varied opinions — going to great lengths to explain their needs in detail. 

And while paid respondents rarely deviated from the mean — 55% chose neutral answers, only 7% chose extreme options — those who paid were more inclined to be themselves — with over 60% choosing either ‘extremely important’ or ‘not important at all’ — indicating more direct feedback and their investment in developing a better product. 

Skin in the Game — the Prelaunch.com Framework

When respondents have skin in the game, they're incentivized to provide more detailed, personal, and insightful feedback. 

When there’s a clear link between the feedback they give and the quality of the product they’ll soon own, why not make it as valuable as possible?

Using AI to Turn Qualitative Responses into Actionable Insights

This deposit is the first step to understanding customers. It validates customer responses and is also a great way to discover new audiences that brands weren’t originally targeting. 

Brands then use Prelaunch.com’s AI to analyze and cluster thousands of responses, discovering hidden patterns and unexpected insights. And follow up with additional surveys, focus groups, and in-depth interviews — iterating through product development together with their customers to guarantee a successful product launch.

grit reportPrelaunchcustomer insightsqualitative researchrespondentssurvey data

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Danniel Roumian Booker

Danniel Roumian Booker

June 4, 2024

Very counter-intuitive! Love this insight. I had given up on online survey tools due to low quality respondents, but I'll definitely check this methodology out and see how I can apply it

Disclaimer

The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.

2024 GRIT Insights Practice Report

EXPERT COMMENTARY

2024 GRIT Insights Practice Report

The annual GRIT Insights Practice Report focuses on trends in methodology adoption, how methodologies and suppliers are chosen, and how organizations invest in insights.

Data collected Q1 2024

May 2024

About partner

Prelaunch.com is a consumer insights and product validation platform used to test early- and late-stage product concepts, gather insights from the right target audiences, test pricing models, colors, features, and more. Future customers confirm their true purchase intent by placing a small deposit, before answering surveys and participating in focus groups and in-depth interviews. Prelaunch.com’s trained AI analyzes this qualitative data to create response clusters, discover hidden patterns, and create ideal customer profiles.

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