Twin Chat and Twin Survey modes
Use Twin Chat for qualitative one-on-one style interviews or Twin Survey for quantitative testing, depending on whether you want open-ended feedback or broader response patterns.
DoppelIQ Atlas is a consumer simulation module that tests ideas, pricing, and campaigns against a 100,000-person AI twin population. It helps product, marketing, and research teams evaluate likely consumer response before launch or spend.
DoppelIQ Atlas is a consumer simulation module from DoppelIQ that lets teams test ideas against a 100,000-person AI twin population. It is built on U.S. demographic, occupational, and aspiration data and is presented as a way to forecast how people may respond before a launch, pricing change, or spend decision.
The Atlas page highlights two interaction modes: Twin Chat for qualitative one-on-one style interviews and Twin Survey for quantitative research at scale. The broader DoppelIQ site describes the product as a way to run scenarios in natural language, then review clear summaries, sentiment signals, and outcome comparisons rather than raw model output.
Use Twin Chat for qualitative one-on-one style interviews or Twin Survey for quantitative testing, depending on whether you want open-ended feedback or broader response patterns.
Test responses across a 100,000-person AI twin population rather than a small sample, with twins modeled on demographic, occupational, and aspiration data.
Explore interactions with specific AI digital twins shown on the page, including named profiles with location and background labels, to inspect how different people may respond.
Evaluate ideas before launch, pricing, or spend by simulating adoption, interest, and resistance across regions, roles, and demographics.
Review outcomes through summaries and comparisons instead of raw model output, so teams can focus on what changed and why it changed.
The main DoppelIQ site says users can run scenarios in natural language, which supports iterative testing of messaging, promotions, and product changes.
Use Atlas to estimate whether a new product, packaging change, or feature idea is likely to gain traction before committing budget or production.
Simulate price changes and compare likely response across different consumer segments before you roll out a new price point.
Test messaging, offers, and creative directions to see which versions resonate with target segments before scaling media spend.
Look for cultural, occupational, or demographic patterns in the responses so you can spot resistance or trust issues earlier in the process.
Re-run the same scenarios as assumptions change to track how responses shift over time and support ongoing planning.
Atlas is a population simulation module within DoppelIQ that runs against 100,000+ pre-built AI consumer twins modeled on U.S. demographic, occupational, and aspiration data. The source pages present it as a way to test ideas, campaigns, pricing, and products before launch.
The source pages show Atlas as a web-based product with interactive Twin Chat and Twin Survey experiences. They do not describe a native desktop or mobile app, so the safest reading is that it is accessed through the DoppelIQ website.
Atlas is positioned for pre-validation, sentiment and bias mapping, aspiration analysis, campaign pre-flight testing, and continuous foresight. It is meant to help teams simulate reactions before spending on launch or media.
The Atlas page says users can try the product with free credits, and the pricing section on the page lists a Free plan plus paid Starter and Growth plans. A separate /pricing page currently returns a 404, so the live product page is the clearest pricing reference available.
The source mentions results summaries, sentiment signals, and outcome comparisons on the main DoppelIQ site, but it does not document export formats, API access, or third-party integrations.
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