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Getting Started with Non-Korean Panel Self-Survey

Updated today

You can conduct overseas consumer research quickly and efficiently through Opensurvey's Panel Self-Survey.

Surveys can be conducted with Non-Korean panels from a total of 12 countries: USA, Japan, Indonesia, Vietnam, Thailand, Malaysia, Philippines, Australia, Germany, France, Spain, and the UK. It can be used for various purposes such as market validation, consumer insight acquisition, and trend analysis.

This guide explains the overseas panel survey process step by step to help you smoothly carry out everything from survey creation to response collection and results analysis.

🔍 For Panel Self-Survey targeting Korean panels, please refer to the Korean Panel Self-Survey process.


✨ Non-Korean Panel Self-Survey at a Glance

Non-Korean Panel Self-Survey can be used following these steps:

1️⃣ Sign up and log in

2️⃣ Subscribe to Dataspace

3️⃣ Create a survey using Consumer Panel Survey

4️⃣ Create a consumer panel collection group

5️⃣ Review the estimate and pay

6️⃣ Analyze results


How to Follow Along with Non-Korean Panel Self-Survey

1️⃣ Sign up and log in to Dataspace

◼️ If you are a new user

step 1. You must sign up for Dataspace to use the service.

step 2. Enter all the required information for sign-up, then enter a Space name to get started with Dataspace.

◼️ If you are an existing user

step 1. Log in to Dataspace.

step 2. Select an existing Space or create a new Space to get started with Dataspace.


2️⃣ Subscribe to Dataspace

Non-Korean Panel Self-Survey is available when you are subscribed to the Professional or Enterprise plan.

step 1. Click [Upgrade Plan] on the Dataspace home screen.

step 2. Select your desired plan and billing method (annual or monthly), then click [Get Started].

✅ If you wish to subscribe to Enterprise, a subscription inquiry is required.

step 3. If you have team members you want to include, add the corresponding number of seats, confirm agreement to the terms, and complete payment.

🔍 Before subscribing, please confirm the following!

Non-Korean Panel Self-Survey incurs both the Dataspace subscription cost and the Panel Self-Survey execution cost.

※ The Panel Self-Survey cost varies depending on billing factors such as the selected country, number of quota groups, target response count, incidence rate (IR), and whether a video is included. (Reference: Panel Self-Survey Pricing Policy)

If you want to check the estimated cost in advance, go to Calculate Estimated Cost, click Non-Korean Panel, and select the following:

  • Survey country

  • Required number of respondents

  • Number of questions

  • Expected incidence rate (IR)

You can immediately check the estimate for the selected conditions in the 'Estimated Cost' section on the right side of the screen. After reviewing the cost, if you determine it is appropriate, proceed with the following steps.

What Is the Expected Incidence Rate (IR)?

The expected incidence rate refers to the proportion of respondents who meet the survey participation conditions (screening + quota conditions) among those who respond to the survey, and you select the expected incidence rate based on the conditions you have set.

✅ Understanding the Expected IR Through an Example

Let's assume you are conducting a survey targeting people who own pets.

The screening questions check for pet ownership, and the quota settings divide targets by gender and household size. The process of calculating the expected IR for the 'Male / Q1 = 1 (single-person household)' quota is as follows:

  • First, assume 500 males participate in the survey.

  • Of these, 250 pass the screening by answering "Yes, I own a pet."

  • Of the 250 who passed the screening, 125 answered "1. Single-person household" for Q1.

That is, out of 500 total participants, 125 met all conditions, so the expected IR for that quota is calculated as 125 / 500 × 100 = 25%.

Therefore, the expected IR for the 'Male / Q1 = 1 (single-person household)' quota can be predicted at 25%.


3️⃣ Create a survey with 'Create Consumer Panel Survey'

step 1. Click the [+ Create New] button and select [Create Consumer Panel Survey].

step 2. Use Dataspace's various features to compose your survey.

💡 Tip | In Panel Self-Survey, gender, age, and residential area information used for targeting are provided by default, so you do not need to collect this information through separate questions.

💡 Tip | If you have difficulty creating a survey, refer to the Dataspace Guide for Beginners | Creating a Survey.

💡 Tip | If you need to determine respondent eligibility based on survey responses, add questions to the screening block. For more details, please refer to Understanding Screening.


4️⃣ Set up the collection group

step 1. Once you have completed the survey, click on 'Consumer Panel Collection Group' in the collection group list in the 'Collect' tab.

step 2. Select the targeting conditions you want.

🔍 For more details, refer to the Targeting Setup document.

step 3. Select a sampling method.

🔍 For more details, refer to the Select Sampling Method document.

step 4. Set up quotas.

If you have added a screening block, please select the expected IR range directly.

In Non-Korean Panel Self-Survey with a screening block, unlike Korean Panel Self-Survey, you must enter the expected IR (IR) directly during the quota setup stage.

🔍 For more details, refer to the Quota Setup document.


5️⃣ Review the estimate and pay

step 1. You can review the estimate based on the conditions you have set.

step 2. Review the Terms of Service and click [Issue Invoice & Pay] to complete payment and begin response collection.

💡 Tip | Once a Panel Self-Survey has collection history, the survey cannot be edited and collection group settings are also restricted. Please carefully review all content before making payment.


6️⃣ Analyze results

step 1. Once at least 1 response has been collected, the 'Analytics' tab will be activated within 5 minutes, and you can check the response results in 'Analytics'.

step 2. Refer to the documents below to analyze and use the data according to your desired purpose.

💡 Tip | If you find it difficult to interpret results and determine next actions, try using Insight Wiki.

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