Product Feature Weightage Analysis Tool for Mckinsey & Company.
Our Solutions
The Overview
Introduction
Businesses around the world conduct surveys to analyse consumer profiles and use the analysis for various business decisions. Mckinsey & Co. required a digital survey application that would –
Generate Unbiased Questionnaires.
Generate a feature wise analysis.
Analyse the answers automatically.
Be Easy to Use.
Be Compatible across all device.
SOLUTIONS
We Developed a Flash Card or Survey Form Generation Tool which is based on Mathematical Model.
This application is developed on R Programming and has custom data modeling such as feature prioritization using Maxdiff. Common Application of this tool includes Message Testing, Brand Preference, Customer Satisfaction and Product Features Mapping. The Admins can design their own surveys and request the clients to take the survey to understand user behaviour.
We developed our own model from scratch and applied the MaxDiff mathematical model and feature prioritization to achieve unbiased server generated surveys using R Programming as our core competency.
RESULTS
With Alive 2.0 we could understand that survey and predictive models demonstrate greater discrimination among items and between respondents on the items. This is an extremely valuable property for research studies as these surveys and output graphs help us in understanding the user's mindset regarding various brands and products in the markets.
The App generates questionnaire forms based on the MaxDiff model and Results are shown in terms of weighted analysis for each product or feature of the product.
