Synthetic Consumer LabSynthetic Consumer Lab
Documentation

Run consumer research with SCL.

SCL puts your questions to synthetic consumers instead of real people: virtual consumers generated from Türkiye’s population and income data and brought to life by AI. Build a target audience, ask your price, product and ad questions, and read the results by segment. This guide walks through the app’s screens using the names you see on screen.

Quickstart

Set up your first study step by step: choose a vertical and a method, define your target audience, enter your questions, check the credits in the preview, start the study and open the report.

  1. Choose a vertical and a methodGeneral Research, Fashion or Ad Testing; then a method card such as Price Analysis, Survey or Real-Time Focus Group. Ad Testing skips the method step.
  2. Build the target audiencePick a saved population or create a new one: enter the number of people and the research topic, accept the suggested segmentation, and narrow it down with filters such as age, gender, city and SES.
  3. Design the studyDepending on the method, enter the product, the price ladder, the competitors, the features or the questions.
  4. Preview and startOn the Research Preview screen, check Person Count and Credit Usage, then click Start.
  5. Read the reportExplore the results by segment and download them as Excel or PDF.

In a Real-Time Focus Group, Participant Selection and a live session replace the design and preview steps. Comparison in General Research has no preview: Next Step on the design screen starts the study.

Video in production
Product video3 min

SCL at a glance

A tour of the app: the sidebar, the new research wizard, building a population, the parts of a report, and Argus.

Sections

The sections follow the parts of a study in order: who you ask (Populations), what you ask and with which method (Research), and how to read the results (Results). In the app you choose the vertical and the method before the population; Quickstart shows the order.

Which method answers which question?

Each method’s own page covers the design steps, how credits are calculated and how to read the report. The same method can appear under a different card name in Fashion (for example, Priority Ranking appears as “Özellik Tercihi (MaxDiff)”, a card the app shows in Turkish, and Survey as Multiple Choice); Ad Testing has no method card. The Verticals page lists every card name.

MethodQuestion it answersMain output in the report
Price AnalysisWhat share of consumers buy my product at each price?Acceptance Curve (Demand), revenue curve, the revenue-maximising Optimal Price; optimal price by segment
Competitive AnalysisAt what price am I chosen over the competition?At each price, how choices split between your product, the competitors and Neither (switching to a competitor shows here); Optimal Price
Feature Price ImpactHow much does a feature change willingness to pay?How much each feature changes willingness to pay, in ₺; demand curves with and without the feature
Priority RankingWhich features matter most?Features ranked by importance on a relative 0–100 score
SurveyHow does the target audience answer these questions?Answer distribution, demographic breakdown, cross-tabulation
ComparisonWhich of two products is preferred, and why?The panel’s verdict (a leading product or no clear difference), purchase likelihood and perceived value, reasons for choosing and not choosing, groups whose preferences diverge
Focus GroupWhat do consumers think about this, and why?The chat transcript; after at least 5 responses, a summary, sentiment, themes and participant clusters
Ad TestingIs my ad watched and liked, and does it bring viewers closer to the brand?Reach (on skippable placements), Liking, Reachable demand, Distinctiveness and Memorability, in a report the app shows in Turkish; scene-by-scene reactions

Type a method, screen name or concept: for example “price”, “population”, “credits”.