Getting started
Learn what SCL does, the key concepts, and how to set up your first study.
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.
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.
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.
A tour of the app: the sidebar, the new research wizard, building a population, the parts of a report, and Argus.
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.
Learn what SCL does, the key concepts, and how to set up your first study.
Decide who to ask: build your group of synthetic consumers by age, gender, city, SES, lifestyle and custom features you define yourself.
Choose the right method for your price, product, message and ad questions, and start the study.
Read reports, break results down by audience segment, and export them as Excel or PDF.
Tell Argus, the research assistant, what you want to learn, and prepare the audience, the method and the questions together.
Manage your account and (if you are an organisation admin) your team, track your credit balance and spending, buy credits, and find out what to do when something goes wrong.
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.
| Method | Question it answers | Main output in the report |
|---|---|---|
| Price Analysis | What share of consumers buy my product at each price? | Acceptance Curve (Demand), revenue curve, the revenue-maximising Optimal Price; optimal price by segment |
| Competitive Analysis | At 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 Impact | How 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 Ranking | Which features matter most? | Features ranked by importance on a relative 0–100 score |
| Survey | How does the target audience answer these questions? | Answer distribution, demographic breakdown, cross-tabulation |
| Comparison | Which 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 Group | What do consumers think about this, and why? | The chat transcript; after at least 5 responses, a summary, sentiment, themes and participant clusters |
| Ad Testing | Is 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 |