Personal blog of Yzmir Ramirez

Coda entered the market with an ambitious, but simple, mission. Since launching in 2014, it has seemingly forged a path to realizing its vision with $140 million in funding and 25,000 teams across the globe using the platform.

Coda is simple in that its focus is on the document, one of the oldest content formats/tools on the internet, and indeed in the history of software. Its ambition lies in the fact that there are massive incumbents in this space, like Google and Microsoft.

Co-founder and CEO Shishir Mehrotra told TechCrunch that that level of competition wasn’t a hindrance, mainly because the company was very good at communicating its value and building highly effective flywheels for growth.

Mehrotra was generous enough to let us take a look through his pitch doc (not deck!) on a recent episode of Extra Crunch Live, diving not only into the factors that have made Coda successful, but how he communicated those factors to investors.

A screenshot from Coda’s pitch doc.

Extra Crunch Live also features the ECL Pitch-off, where founders in the audience come “onstage” to pitch their products to our guests. Mehrotra and his investor, Madrona partner S. Somasegar, gave their live feedback on pitches from the audience, which you can check out in the video (full conversation and pitch-off) below.

As a reminder, Extra Crunch Live takes place every Wednesday at 3 p.m. EDT/noon PDT. Anyone can hang out during the episode (which includes networking with other attendees), but access to past episodes is reserved exclusively for Extra Crunch members. Join here.

The soft circle

Like many investors and founders, Mehrotra and Somasegar met well before Mehrotra was working on his own project. They met when both of them worked at Microsoft and maintained a relationship while Mehrotra was at Google.

In their earliest time together, the conversations centered around advice on the Seattle tech ecosystem or on working with a particular team at Microsoft.

“Many people will tell you building relationships with investors … you want to do it outside of a fundraise as much as possible,” said Mehrotra.

Eventually, Mehrotra got to work on Coda and kept in touch with Somasegar. He even pitched him for Series B fundraising — and ultimately got a no. But the relationship persisted.

Organizations spend ungodly amounts of money — millions of dollars — on business intelligence (BI) tools. Yet, adoption rates are still below 30%. Why is this the case? Because BI has failed businesses.

Logi Analytics’ 2021 State of Analytics: Why Users Demand Better survey showed that knowledge workers spend more than five hours a day in analytics, and more than 99% consider analytics very to extremely valuable when making critical decisions. Unfortunately, many are dissatisfied with their current tools due to the loss of productivity, multiple “sources of truth,” and the lack of integration with their current tools and systems.

Throughout my career, I’ve spoken with many executives who wonder why BI continues to fail them, especially when data discovery tools like Qlik and Tableau have gained such momentum. The reality is, these tools are great for a very limited set of use cases among a limited audience of users — and the adoption rates reflect that reality.

Data discovery applications allow analysts to link with data sources and perform self-service analysis, but still come with major pitfalls. Lack of self-service customization, the inability to integrate into workflows with other applications, and an overall lack of flexibility seriously impacts the ability for most users (who aren’t data analysts) to derive meaningful information from these tools.

BI platforms and data discovery applications are supposed to launch insight into action, informing decisions at every level of the organization. But many are instead left with costly investments that actually create inefficiencies, hinder workflows and exclude the vast majority of employees who could benefit from those operational insights. Now that’s what I like to call a lack of ROI.

Business leaders across a variety of industries — including “legacy” sectors like manufacturing, healthcare and financial services — are demanding better and, in my opinion, they should have gotten it long ago.

It’s time to abandon BI — at least as we currently know it.

Here’s what I’ve learned over the years about why traditional BI platforms and newer tools like data discovery applications fail and what I’ve gathered from companies that moved away from them.

The inefficiency breakdown is killing your company

Traditional BI platforms and data discovery applications require users to exit their workflow to attempt data collection. And, as you can guess, stalling teams in the middle of their workflow creates massive inefficiencies. Instead of having the data you need to make a decision readily available to you, instead, you have to exit the application, enter another application, secure the data and then reenter the original application.

According to the 2021 State of Analytics report, 99% of knowledge workers had to spend additional time searching for information they couldn’t easily locate in their analytics solution.