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Well Principled Accelerate Science Product Pipelines with A.I. Model-Assisted Selection

Well Principled
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Home: https://www.wellprincipled.com

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Categories:
  • #product development
  • #Predictive Analytics
  • #Optimization
  • #Causal Models
  • #Data Analysis
  • #ROAS

What is Well Principled?

The Nucleus software platform by Well Principled is designed to help science-based businesses streamline their product development processes. It achieves this by systematizing product development as a process of learning to manipulate mechanisms.

The platform leverages existing funnel testing data and a comprehensive catalog of mechanisms extracted from academic literature. By combining these resources, Nucleus facilitates in-silico simulations to predict product performance, thus reducing the need for extensive physical testing and accelerating the identification of promising product candidates. It helps identify more promising products while testing fewer candidates and helps accelerate pipeline advancements.

Features

  • Mechanism Analysis: Learns from existing funnel testing data and a catalog of mechanisms mined from academic literature.
  • In-Silico Simulation: Drops losing candidates using in-silico simulation to reduce early stage testing.
  • Pipeline Acceleration: Allows advancement of candidates earlier by learning to disentangle mechanisms.
  • Price Elasticity Quantification: Automatically quantifies price elasticity from historical data for consumer science.
  • Ad Spend Optimization: Automatically quantifies how every ad dollar drives incremental sales, including the effects of saturation, awareness and interaction with promos and season.

Use Cases

  • Reduce early-stage product testing in hard science.
  • Accelerate candidate advancement through testing phases.
  • Optimize promotional and pricing strategies for consumer products.
  • Increase return on ad spend (ROAS) by identifying high-performing media channels.
  • Improve product forecasting accuracy.

Helpful for people in the following professions

Well Principled Uptime Monitor

Average Uptime

100%

Average Response Time

220.33 ms

Last 30 Days

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