Computing Human Effort with Machine Learning for CRM

I am a Crisply co-founder and we are a data science startup based in Boston. We have been working for over 2 years on solving a big problem. The problem is that Sales, Support, and Customer Success teams fly blind because they are unable to connect investments with results. This is analogous to what the oil business used to be like. Investments were made based on hunches and feelings, and it was called wildcat drilling.

Data has revolutionized the oil business. Companies now know precisely where to drill, how to extract maximum value, and they invest appropriately to maximize profitability.

Today, the connection between the costs and results are unknown for sales, support and customer success teams. You know the costs and you know the results, but you don't know what it takes to get there.

Did it take a ton of human effort to close Customer A or was it relatively efficient? What type of effort does it take to keep Customer B moderately satisfied? There is no way of knowing because asking your team to track time would be futile and kill culture.

Crisply’s three PhD's built a revolutionary machine learning engine that quantifies human effort. Our Chief Scientist pioneered Combinatorial Linear Algebra at Yale, which is what makes Crisply possible. This has never been done before and Crisply users have called it magic. For us non-mathematicians, I agree that it seems like magic.

Using CRM's, such as Salesforce.com and Zendesk, Crisply is able to calculate the human costs behind each customer; the human cost to acquire, support, renew, up-sell/cross-sell, and keep them satisfied.

Understanding the human effort expended leads to powerful descriptive and predictive analytics that can be used for improving the planning and execution of sales, support, customer success, and product teams.

Some of Crisply's benefits include:

1. Understanding the human effort expended by: customer, rep, and all your customer & market segments without invasive timers or manual time tracking.
2. Predicting support cases and opportunities that are at risk.
3. Providing a complete picture of effort expended by quantifying activities for everyone who interacts with customers.
4. Visualizing analytics within Crisply and Salesforce, or exported to your favorite database, BI tool or enterprise application.
5. Easy to onboard and Crisply runs retrospectively to provide a baseline and immediate insights.

We are extending an invitation for visionary companies to join the Crisply CRM beta. If you want to move the needle in a very significant way with data that you already have, please email me: ross at crisply.com.