See the Full Picture

Evelance’s models include life events, professional challenges, and behavioral patterns. Predictive Models respond to your designs with this context, while Insights flags audience misalignment before you waste development cycles.

demographics-new

Age and location alone don’t predict behavior. Standard panels give you demographics without the life circumstances, pressures, and preferences that actually drive user decisions.

Go Beyond Demographics
Each model comes with professional challenges, key life events, personal joys, and pain points. This depth grounds every test in the full context of user priorities.
Insights Flag What Works & What Fails
Evelance Insights identifies successful elements and problem areas. You receive specific feedback about which features resonate and which create friction for your selected audience.
Predictive Models Respond
Models generate feedback based on their complete profile data. Responses reflect how behavioral patterns and personal circumstances influence their interaction with your design.
Identify When the Audience is Misaligned
The platform reveals when your chosen audience doesn’t match your product. You learn if you’re testing with the wrong segment before investing in development.

Research at the Speed & Scale You Need

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$399/month

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Get Trial Access

Most teams wait weeks to validate design choices, only to learn what they could have known in a day. Evelance gives you trial access so you can see how predictive testing works on your own projects. You’ll know right away if it fits your workflow and what kind of insights it can deliver.


FAQs

FAQs

1. What depth of information does each audience profile contain?
Profiles include professional challenges, key life events, personal joys, pain points, financial situations, relationship dynamics, health concerns, and behavioral patterns developed over time. You're not testing with "35-year-old from Boston." You're testing with someone who just became a caregiver for aging parents, struggles with work-life balance, and makes purchase decisions based on family security rather than personal preference.
2. How does Evelance detect audience misalignment?
The platform analyzes response patterns to identify disconnects between your product and the selected audience. If you're testing enterprise software with profiles that lack decision-making authority, or consumer apps with profiles that don't match actual buyer behavior, Evelance flags the mismatch. You find out your B2B tool appeals more to freelancers than executives before building the wrong features.
3. What happens when my chosen audience doesn't connect with the design?
Evelance Insights explicitly tells you when the problem is audience fit, not design quality. The platform shows which audiences would respond better and explains why. You might learn your fitness app resonates with busy professionals, not gym enthusiasts as planned. This prevents months of iterations trying to fix a design that was never broken, just shown to the wrong people.
4. How do richer profiles change the feedback quality?
Models respond based on accumulated life experiences and current circumstances, not isolated tasks. A profile with recent job loss evaluates your premium features through a different lens than one with stable income. Someone managing chronic illness notices accessibility issues others miss. The feedback reflects complete human contexts that shape real purchase and usage decisions.
5. Can Evelance suggest better audience segments if mine is wrong?
The platform identifies which profile attributes correlate with positive responses. If your selected audience rejects the design but certain subgroups show interest, you see those patterns. You learn your product works for urban professionals with kids but fails for the childless segment you originally targeted. This guidance comes from actual response data, not assumptions.

Get Trial Access

Most teams wait weeks to validate design choices, only to learn what they could have known in a day. Evelance gives you trial access so you can see how predictive testing works on your own projects. You’ll know right away if it fits your workflow and what kind of insights it can deliver.