Linesol

What You Can Test

Each study asks a single direct question to participants while varying features such as title, image, description, and price across participants whose features can be explored at the same time. This helps companies explore which which factors are associated with higher positive reactions, refining market fit for new products.

Question Card Features

Ask participants a direct Yes/No question which captures a desired consumer response to your goal e.g. 'Would you buy this product?', then explore the effect of product variations by defining various titles, images, descriptions, and prices. We split the product variations across the participants, showing one variation per participant and ensure they wait at least 10 seconds before answering. Instead of collecting opinions, this direct approach results in a signal that is closer to the actual experience of the consumer in the market, which helps with clearer interpretation of the analysis.

User Features

Select user features spanning demographics, preferences, and behaviors. For each category, select the attributes you want analyzed and define the participant base for the study. The feature catalogue expands over time to capture the most informative and actionable variables predicting decision-making. We also provide a live demographic summary of our participant base to help estimate the time to receive responses. For naming standards see the User Features Guidelines.

What You Learn

Data Analysis

Once responses are in, feature importance, segment-level differences, pricing signals, and follow-up study recommendations are delivered through an automated analysis pipeline, leveraging machine learning to quantify the impact of each variable along with an accuracy score. Outputs include raw data, structured results, and a professional report.

Feature Effects: See which card-level variables such as title, image, description, and price are associated with higher or lower positive response rates.
Pricing Signals: Estimate how positive response rates differ across the price points you tested to identify an evidence-based pricing validation.
Segment Insights: Understand which participant attributes are associated with stronger or weaker response rates, supporting clearer targeting and positioning decisions.
Study Diagnostics: Review accuracy scores, class imbalances and multicollinearity results to interpret the strength of the results and refine future studies through better feature selection and study design.

Case Studies

Each case study explores a product concept by turning a product decision into a structured experiment to validate and refine product designs, audiences and pricing before committing manufacturing and marketing resources.

First, find the winning design

Download the results here

Then, find the audience

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Finally, find the price

Download the results here

Academia

Psychology
Economics
Sociology
Political Science
Communications

Commercial

Product Appeal
Slogan Effectiveness
Campaign Relevance
Product Positioning
User Interface Design

AI Feedback

Behavioural Feedback
Bias Detection
Content Relevance
Image Evaluation
Response Evaluation

* These results illustrate the types of insights possible through the Linesol platform, and were processed from synthetic datasets simulating responses from participants using the Linesol mobile app. Each download includes: raw data, structured results and a professional report.

How We Support Advanced Teams

Controlled Research

Each study is a structured binary experiment where question-card variables such as title, image, description, and price can be varied alongside participant variables. In practice, that gives teams one workflow that can support familiar research patterns such as A/B monadic testing, segmentation, price-sensitivity testing and feature-importance analysis.

Automated Analysis

Once responses are in, an automated ML analysis pipeline returns: the most promising product designs, audience differences, pricing signals, and diagnostics. The aim is not just to collect responses, but to identify winning combinations of product concepts and turn them into decision-ready evidence efficiently.

Advanced Flow

The platform offers full API execution across launching studies, retrieving results and building composite variables. This allows advanced teams to explore a vast number of product design, audience and price combinations efficiently.