Most R&D Teams Run Too Many Experiments And Learn Too Little From Each One
A Simple R&D Learning System for Faster Product Development
FastR&D helps teams build a Simple R&D Learning System so they can run fewer experiments, learn faster, and make better decisions.
The Problem
Most R&D Managers deal with a “problem of the day”:
Speed
Productivity
Manufacturing support
Customer support
Documentation
Most teams are working hard.
The frustration is — progress still feels slower than it should.
These look like separate problems. They are not.
The Real Issue
R&D is not being run as a system for learning. It is being run as a series of disconnected tasks.
What’s Missing
What’s missing is a simple, repeatable way to learn from experiments, develop better insights, and make better decisions, faster and more consistently.
A Simple R&D Learning System
A Simple R&D Learning System is a structured way to design experiments, learn from data, and make better decisions, faster and more consistently.
A few examples
What you can achieve with a structured learning approach
These are not theoretical. They are results from real industrial R&D environments.
In 12 carefully designed three-liter lab experiments, a Friedel-Crafts reaction yield was increased from 550 lbs/hr to 770 lbs/hr.
In 16 experiments at plant scale, 72,000 lbs/hr fluid-bed reactor, a new catalyst was scaled up successfully for $750K/yr additional savings.
In one year, we commercialized more fluorinated compounds than ever with Mukul's help.
In most labs, results still depend too much on individual experience and trial-and-error.
This approach is especially useful for teams working in New Product Development, where Design of Experiments (DOE) and data-driven learning are critical.
“In practice, DOE is often seen as complex and difficult to apply in everyday lab work.”
So Instead of using DOE as a complex statistical tool, FastR&D converts it into a simple R&D Learning System that scientists can apply directly and very quickly, within a few hours.
In most labs, some people consistently get better results than others, and much depends on individual experience.
Great scientists bring better ideas — and that will always matter.
But an R&D Learning System ensures that all ideas get tested, learned from, embedded in a knowledgebase in an instantly reusable form, and available to the entire team, department and the company, as needed.
A New Way to Work
FastR&D is not just DOE software.
It is a Simple R&D Learning System.
Design experiments better
Learn faster from data
Make better decisions
Document results quickly
Build repeatable learning
Simple by Design
At its core, the system uses just three inputs:
Project Description
Project Definition
Project Data
The goal is simple:
Make better learning easier for everyone in Lab R&D.
Why This Approach?
Mukul Mehta
I have spent 40 years in industrial R&D helping teams improve how they develop new products.
40
years experience
850+
scientists trained
$
Multi-million dollar
successes
Who This Is For
You run many experiments but want better learning
You are responsible for R&D performance
You believe there is a better way
You have at least one real project
Not For
Want a plug-and-play tool
Not willing to change approach
No real project
Just exploring casually
Early Adopter Group
I’m currently working with a small group of Early Adopters to apply this on real projects and shape how it evolves.
This is a working group, not a passive course.
Participation is selective.
This is a small, selective group.
If this way of thinking and working resonates with you the next step is to apply.
Apply to Join
FAQs
A structured way to design experiments, learn from data, and make better decisions consistently.
DOE is a catalog of statistical methods. This is a system for applying it effectively.
Lab R&D scientists and managers involved in new product development who want to improve experimentation and learning.
Apply to Join Early Adopter Group
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