insightsoncode

We make your code insightful; helping you understand your customers, products and validating customer-product fit.

Insightsoncode can 

1. help you understand how each customer uses your product. 

2. help you understand your product better and analyze product performance - both from a time and cost perspective

3. help you understand how your customers use your features/products in aggregate and validate customer-product fit

We just log code information. 

So how are we different?

The log data we generate is starkly different from our peers and is structured to be powerfully relational. 

Our CPE-NBC logging framework gets information about your customers, your product, the product version, your features and even individual blocks of code. 

Using our open source logger will thus help you gain a true and complete understanding of your business.

(Read Powerful Use Cases to know how this will help in transforming your business)

Here are 3 other reasons why we are different, 

• Open source

• Easy integration for programmers

• No impact on product performance

Click to read in detail : 1 minute read

Powerful Use Cases

Our log data is relational. 

As a business leader, this enables you to know which part of the code was run, when using which feature, when using which product, in which product version, and by which customer; opening up many powerful use-cases.

This allows you to answer important business questions. 

For example, 

1. How are customers in general using Product 'X'?

2. Which features of Product 'Y' are most used?

3. Which code blocks have to be made more effective in Product 'Z'?

4. How are the sales of Product 'X', Product 'Y' and Product 'Z' comparing with each other?

5. How has the usage of the new product,  Product "New" increased over the past 2 months?

And other insightful questions, at any combination of levels.

Here are 3 other powerful use cases,

• Understand each of your customers uniquely

• Understand which APIs or Queries consume more time and money to optimize code effectively

• Track user-click rate during A/B testing to understand which updates are helping your business

Click to read in detail : 3 minutes read

Open Source

Our Python library : https://pypi.org/project/InsightsOnCode/0.1.1.6/

Our Code documentation :  The Basics 

Our GitHub repository : https://github.com/siddhanthramani/insightsoncode