Customer persona survey simulation is a method of pre-checking questions and hypotheses by conducting a survey with a virtual person reflecting customer characteristics. The responses generated are simulated and should not be interpreted as a measure of actual customer purchase intent or market reaction.
In what order do you proceed?
| step | main task | Results to check |
|---|---|---|
| Persona Design | Define consumption tendencies, context of use, and inconveniences using customer and market data permitted to be used | Profiles and configuration criteria for each type |
| mock survey | Present the same question to different personas and record their choices and reasons. | Consistency and diversity of reactions and responses by type |
| Question improvement | Examine ambiguous questions, leading expressions, missing options, and weaknesses in the hypothesis. | Questions and verification tasks to be used in this survey |
What tasks can it be used for?
- Checking the question structure of new product/new feature ideas
- Explore expected reactions to price and subscription terms
- Dictionary comparison of marketing messages and expressions
- Address concerns and follow-up questions when policy changes occur
How do you review quality and limitations?
Check for consistency of responses from the same persona, diversity of opinions across groups, and excessive positive bias. If you have actual survey data, compare the response distribution and differences in major topics, and record the models, prompts, questions, and evaluation criteria used.
Virtual responses cannot confirm experiences such as taste and touch or actual purchase behavior. After refining your ideas and questions, you need a flow to verify your decision through actual customer research.
How are the roles of GLT and partners divided?
| area | Role in collaboration |
|---|---|
| GLT Korea | Define schema for customer profile and consumption context, review questions and exception scenarios, interpret results, and organize business linkage requirements |
| AI technology partners | Design and implementation of AI model, agent, and platform, and model evaluation and operation technology |
| Customer company/operating organization | Data use rights, business review, application approval and operating policy |
The table above divides the areas of collaboration, and the actual scope of performance and output for each project is confirmed according to the contract and division of work.
Disclosure and scope of explanation
Introduction to Serendex Public Projectintroduces an example of a global home appliance manufacturer's virtual customer survey, response generation, and quality evaluation.
This article explains the application structure based on the published examples and the domain perspective of GLT. Each customer's contract period, inspection results, and quantitative performance are provided separately from the technical description on this page.