Learn to break business problems to it’s atomic level truth & then prioritise where to deploy experiments that scale.

Introduction to the CRAFT

He led insights for the largest category at Amazon & built the analytics team at CRED 0 to 1. Meet your program director, Tanmay Nagori and understand his experience

Meet your program director

Clearly understand the outcomes, what you'll be able to & not be able to do after learning this CRAFT. 

Outcomes of the CRAFT

Module 1

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Learn how to diagnose

Understand the rate and mix framework to break down the problem into smaller chunks, prioritise based on impact, and allocate resources that’ll give maximum ROI.

Rate and Mix framework

Break down & analyse why the % of users lending within the first 24 hours of signing up has decreased from 5% in January to 2.5% in February.

Case study: Naviigure out what change happened and why did it happen

Module 2

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Improve metric baselines. 

Learn how to identify the controllable & uncontrollable factors and affect any metric & deploy experiments to reduce the unknowns.

Identify controllable & uncontrollable factors

Define the ceiling for any metric & understand how to bridge the gap between the current baseline & the ceiling

Improve baselines & define ceiling

Break down Zepto’s  payment success rate which is at 70% into controllable & uncontrollable factors. Work with the data team to reduce the unknowns & define the ceiling to the metric.

Case study: Zepto

Module 3

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Diagnosing at scale.

Learn the concept of univariate analysis, and how it simplifies the RCA process. s

Understand univariate analysis

Automate univariate analysis to diagnose really quickly & at scale. Identifying the biggest cohorts that are pulling down your metrics.

FUGLY Method

Use FUGLY to break down & analyse why new user activation rate (signup to first booking within 24 hours) for Urban Company has dropped from 25% in March 2023 to 15% in April 2023

Case study: Urban company

Module 4

Run structured experiments. 

Learn the structure to articulate your hypothesis from an insight or correlation in your data.

Hypothesis generation

 Understand the nuances and learn how to execute an campaign  end-to-end, making sure your experiment delivers actionable results. 

Experimentation design

Learn how to define success metrics in a way that gives you clear next steps: scale, kill or continuing experimenting. 

Define success metrics

Get buy-in from the right stakeholders in the org. Learn when, what & how to communicate to build influence.

Manage stakeholders effectively

Run experiments to increase the revenue for Amazon’s wireless accessories category by 10%.

Case Study: Amazon

Module 5

Tanmay Nagori

Learn to go from data to insights to experiments & leverage them at scale..

Designed for product managers in the early scaling or growth stage. This CRAFT teaches you how to break a problem down objectively & take take data-driven decisions.

For growth marketers at early & mature scaling products looking to scale channels & reduce CAC. This CRAFT helps you design the right experiments that drive meaningful impact.

For founders who are looking to build a data-first organisation. This CRAFT helps you build a data muscle, allowing you to experiment and scale rapidly.

This CRAFT is designed for folks in product, marketing & founders looking to drive exponential revenue impact through data & experimentation.

Data Led Growth

Over the past decade, Tanmay has built & led analytics teams at companies like CRED, Amazon & MuSigma. He has led insights for mobile & electronics category at Amazon which brings in 60% of revenue, ran multiple experiments to reduce the CAC for CRED and eventually built the analytics team at CRED 0 to 1. He's currently leading the analytics team for Tide.

In the next chapter of his career, he's working on projects in customer tech spanning analytics + growth problems, and is very bullish on the large consumer tech playing out in this decade.

Learn to  break any problem down to its atomic level, prioritise basis impact & strategically allocate resources to solve the problem.

Learn how to diagnose.

Learn a mental model to collaborate & share ownership over a metric with the data team. Identify the controllable & uncontrollable factors affecting a metric & work to reduce the size of the unknown bucket through diagnostics & experimentation.

Improve metric baselines.

Understand how univariate analysis works. Automate univariate analysis to diagnost & diagnose at speed.

Diagnosing at scale. 

Go from insights → hypothesis generation → designing an experiment → implementation → taking an informed call on killing, scaling or continuing to run the experiment.          

Royal Enfield is a legendary motorcycle brand known for its classic design, rugged build, and powerful performance

Improve the test ride bookings at Royal Enfield by 10%. 

Cars24 is an online platform that helps users sell, buy, and exchange used cars easily. It offers instant car valuation, hassle-free documentation, and quick payments

Improve conversion rates for loan application process at Cars24.

PayU Finance offering a range of credit products to consumers and small businesses. Their offerings include personal loans, express loans, transactional credit through LazyPlus.

Increase the repeat in the loan category by 10% at PayU Finance.

Impact Analytics is a leading AI-driven SaaS company specialising in retail solutions that optimise merchandising and supply chain operations.

Optimise ad campaigns by improving the CTR to 1.5% and keeping CAC under $400

Consume and learn from 500+ projects built by GrowthX members

Real world projects

CRAFTs are self paced learning programs, meant to fit the schedules of high performing working professionals.

Async learning experience

What is the project? And is it mandatory?