Enterprise

7 ways investors can gain clarity while conducting technical due diligence

Comment

Magnifying Glass Focusing Sunlight Into a Point Repetition on Turquoise Colored Background High Angle View; technical due diligence
Image Credits: MirageC (opens in a new window) / Getty Images

Roger Hurwitz

Contributor

Roger Hurwitz is a founding partner at Volition Capital. He focuses primarily on investments in software and technology-enabled business services.

More posts from Roger Hurwitz

It feels like almost any company is a tech company in one way or another these days. But when it comes to assessing investment opportunities, few venture and growth equity investors have the resources to conduct thorough technical diligence.

They often outsource this critical work to a consultant for more of a high-level overview, because technical diligence is often a blind spot for investors. This should not be the case, as the robustness of a product or its lack thereof can make or break a company.

The focus of diligence tends to be on aspects of a product that can be measured. As a result, the emphasis is often around financial performance, drilling down to detailed metrics such as gross margins, sales rep productivity, LTV, CAC, payback periods and more. While sales and marketing spend is often the largest operating expense for a high-growth business — sometimes representing over 40% of revenue — R&D costs can also be material, typically comprising more than 20% of revenue.

However, the assessment of the product and R&D expense base is more of a qualitative assessment based on discussions with management, industry analysts and experts, customers and partners. Investors are not alone in feeling somewhat uncomfortable about this. Even CEOs who don’t have an engineering background are forced to rely on the CTO and product team to understand the scalability of the code, technical debt, the cost and time to develop product roadmaps, and more, without a quantitative way to assess the performance.

Lacking knowledge of the code or the product’s evolution, we are just scratching the surface, which makes us more vulnerable to technology overhauls along the way.

The following seven tips will help you gain more clarity on a company’s technology and how best to prioritize initiatives over time for the product to be clearly differentiated in the market.

Getting the tech architecture to scale is critical

The initial decision on which tech architecture to use is widely underestimated, and not enough young companies realize the long-term ramifications.

This is the foundation the code is built on, and it needs to be aligned with the company’s go-to-market strategy. Lack of planning upfront can lead to costly code rewrites later on, and significant customer issues.

Recognize the power of a great developer

I would rather have one A+ developer than 10 B players. While this is true for many other roles, too, it really hits home in an engineering organization.

One of my favorite lines from a technology executive is that nine women cannot make a baby in a month. Throwing bodies at a product to quickly develop it is often not the answer, and can compound the problem of technical debt.

It’s important to take the time to make the right hires. Remote work is here to stay, and access to great talent has now been vastly expanded.

Discipline and process matter

Young companies often develop a product without a clear view of what the customer wants. This is where the product management function comes in. This is not a luxury to have; it is an absolute necessity.

A good product management process will coordinate with customers, prospects and development to ensure there is a good product road map in place that aligns with the strategy. It will help ensure that there is good documentation of the tech specs and functionality.

With this, the organization can assess the time and costs to execute against the roadmap and subsequently measure performance against this plan. This analysis can provide great insight into the process and what can be improved.

One of the primary reasons companies fail is that they have not proven there is product-market fit. Strong product management helps lower the chances of this happening. You can have the best product, but that doesn’t matter if there is no market.

Team dynamics

The caliber of the engineering team and culture of the organization is very important. Has the team been together for some time and developed a good chemistry? Does the team work well across the company or operate in silos? Has there been lots of employee turnover? Does the company have the right level of software DNA and agility needed to succeed?

People make businesses, and it is the team that will position the company to build great products and execute the business strategy.

The “not invented here syndrome”

There are many good technologies in the market that engineering teams can use to lower time to market. Despite this, companies often find themselves building such capabilities from scratch rather than leveraging what already exists and focusing on their core differentiators.

This is where build versus buy/partner decisions are critical. Understand what is unique to the business and continue to build on that secret sauce.

Additionally, beware of complete overhauls when recruiting a new CTO and/or VP of Engineering. While such a new hire may be critical, it can also result in rewriting history in cases where only some honing is needed to optimize the situation.

Listen to the customer

Reference calls with current, churned and potential customers will provide invaluable perspective on the product. How was the implementation process? Has the product been broadly adopted by the key users? Are they raving about the offering? What could be improved? Is there a consistent, repeatable use case to build a big business upon?

These are just some of the many questions that you could ask customers. While concerns will likely be heard, the key is that management acknowledges deficiencies and has a clear action plan to address them. The business should have a customer success team to get ahead of issues before the risk of churn becomes high.

Technical diligence

Go deep on what really matters, and contact experts in the sector. Pick the one or two areas that will be critical to scale the business instead of boiling the ocean on tech specifications and observations.

Find the right expert to help identify and assess the risks and merits of the product. If you find yourself using the same expert across different investment opportunities, you may be taking the generalist approach too often.

Ongoing cyber tech assessments should be scheduled to protect against vulnerabilities. It only takes one incident compromising customer data to sink a business.

Over time, technology should become less of a black box for investors. There is a wave of emerging companies developing products to make technology more measurable and drive strategic alignment within an organization. Use these to your full benefit.

More TechCrunch

Amazon Web Services (AWS), Amazon’s cloud computing business, has confirmed further details of its European “sovereign cloud” which is designed to enable greater data residency across the region. The company…

AWS confirms European ‘sovereign cloud’ to launch in Germany by 2025, plans €7.8B investment over 15 years

Go Digit, an Indian insurance startup, has raised $141 million from investors including Goldman Sachs, ADIA, and Morgan Stanley as part of its IPO.

Indian insurance startup Go Digit raises $141M from anchor investors ahead of IPO

Peakbridge intends to invest in between 16 and 20 companies, investing around $10 million in each company. It has made eight investments so far.

Food VC Peakbridge has new $187M fund to transform future of food, like lab-made cocoa

For over six decades, the nonprofit has been active in the financial services sector.

Accion’s new $152.5M fund will back financial institutions serving small businesses globally

Meta’s newest social network, Threads is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months. Instagram head Adam Mosseri noted that the company…

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people