Transparency about how investors actually make decisions is, in our experience, genuinely rare. Most investment firms publish their thesis — the high-level conviction about markets and trends — but decline to explain the mechanics of how they evaluate individual companies. We think this opacity is a disservice to founders, who deserve to understand what they are walking into when they engage with a prospective investor. This article is an attempt to change that, at least from our side of the table.

What follows is an honest account of how BeMoreeDriven Capital evaluates growth-stage companies — the phases of our diligence process, the questions we ask at each stage, the signals we look for, and the red flags that cause us to pass. We share this not because we believe it will give founders an unfair advantage in the process, but because we believe the best investment relationships are built on mutual understanding from the very first conversation.

The Structure: An Eight-Week Process

Our standard diligence process runs eight weeks from initial engagement to investment committee decision. This is longer than some growth equity investors and shorter than others. We have landed on this timeline because it is the minimum period in which we believe we can develop genuine conviction — as opposed to a surface-level view of the metrics — while remaining responsive enough to be a competitive alternative to funds with faster processes.

The process is organized into four phases, each with specific objectives and outputs. Phases run partially in parallel after the first two weeks, but each has its own dedicated workstream and team members responsible for driving it to completion.

Phase One: Market and Competitive Positioning (Weeks 1–2)

We begin every diligence process with market analysis rather than company analysis. This sequencing is deliberate. A company's performance metrics and management quality are best understood in the context of the market they operate in. A company growing at 40% annually looks different depending on whether the underlying market is growing at 20% or 5%. An NRR of 115% looks different if every competitor is posting NRR above 140%.

In the first two weeks, we conduct independent research on the target company's market. This includes competitive landscape mapping, market sizing (our own bottom-up analysis, not management's TAM slide), win/loss pattern analysis, and a review of the technology landscape. We use a combination of primary research (conversations with domain experts, industry analysts, and — with the company's knowledge — select customers and prospects) and secondary research to build our market view before we spend significant time with management.

The central questions we are trying to answer at this stage are: Does this market have the characteristics that support a durable, high-NRR business? Is the company's competitive positioning as differentiated as their pitch suggests? Are there structural risks to their market position — incumbent responses, regulatory shifts, technology changes — that the company has not adequately addressed in their materials?

By the end of Phase One, we have a view on whether the market opportunity is real and whether the company's positioning within it is defensible. If we have significant concerns on either dimension, we will communicate them transparently and typically conclude our engagement at this stage.

Phase Two: Unit Economics Deep-Dive (Weeks 2–4)

The second phase is our most analytically intensive. We are building a granular understanding of the company's revenue quality, growth efficiency, and financial architecture. This requires access to a level of financial detail that most companies are not accustomed to providing at this stage of an investment process, and we are explicit with management upfront about what we need and why.

The core metrics we analyze in Phase Two include:

Net Revenue Retention by cohort. We want to see NRR segmented by customer cohort — not just the aggregate headline number. Aggregate NRR can mask deteriorating retention in recent cohorts, which is often a leading indicator of product-market fit issues or competitive dynamics that have shifted. We look for NRR above 120% across all cohorts, but we are particularly attentive to whether the most recent cohorts are performing in line with earlier vintages.

CAC Payback Period by acquisition channel. We decompose customer acquisition cost by channel — inbound, outbound, partner/channel, product-led growth — because the unit economics of different acquisition motions vary enormously. A company with an aggregate CAC payback of 20 months may have an inbound-driven motion payback of 8 months and an outbound-driven payback of 36 months. Understanding which channels are scalable at efficient economics is essential to underwriting the growth plan.

Gross margin by product line and customer segment. Blended gross margins obscure important variation. We analyze gross margin by product line (especially for companies with mixed software and services revenue) and by customer segment (enterprise vs. mid-market vs. SMB often have significantly different margin profiles). We are looking for a gross margin architecture that is structurally healthy and improving over time.

Expansion revenue mechanics. For companies with NRR above 120%, we want to understand the mechanics of expansion in detail. Is expansion driven by user seat growth (fragile — subject to headcount reduction), usage-based billing (durable — tied to the customer's own growth), cross-sell of additional modules (durable — requires continued product investment), or price increases (a signal of pricing power, but needs to be validated against churn data)? The source of expansion revenue tells us a great deal about the durability of NRR over time.

Customer concentration risk. We examine the revenue contribution of the top 10 customers carefully. Concentration above 40% in the top 10 introduces meaningful customer-specific risk. Concentration above 20% in a single customer is typically a deal concern unless there are structural reasons (a formal exclusivity arrangement, a platform partnership) that mitigate the risk.

Phase Three: Technical Architecture Review (Weeks 3–5)

Running in parallel with Phase Two, our technical review is conducted by our in-house engineering team with support from external technical advisors in the relevant domain. The objective is to assess whether the technology underpinning the business is genuinely differentiated — and to identify any technical debt, architectural risks, or security vulnerabilities that could affect future scalability or introduce operational risk.

We look at four dimensions in our technical review:

Architecture scalability. Can the system handle 10x the current transaction volume without a fundamental redesign? We are specifically looking for architectural patterns that become bottlenecks at scale — monolithic codebases that cannot be horizontally scaled, database architectures that produce latency at volume, integration patterns that create vendor lock-in risks. These are not always disqualifying, but they need to be priced into the investment timeline and capital requirements.

Data architecture and moat. For AI and analytics companies, the data architecture is frequently the primary source of competitive advantage. We assess the uniqueness of the training data, the quality of the data pipeline, and the existence of proprietary data assets that would be difficult for a competitor to replicate. We are particularly interested in network effects within the data architecture — platforms where more customers generate more data that improves the product for all customers.

Security posture. For enterprise software companies, security is both a technical requirement and a sales requirement. We assess the company's security posture through a combination of documentation review and technical testing. Companies selling to regulated industries (financial services, healthcare, government) that cannot credibly demonstrate SOC 2 Type II compliance and appropriate data handling frameworks have a significant sales impediment that needs to be understood and addressed.

Engineering team quality. We conduct technical interviews with the engineering leadership and review the composition of the engineering team. We are assessing whether the technical team can build and maintain the roadmap that justifies the investment.

Phase Four: Reference Checks and Team Calibration (Weeks 5–8)

The final phase of our diligence is the most qualitative — and, in our experience, the most differentiated. Reference checking is frequently perfunctory in growth investing. We treat it as the most information-dense part of the process.

We conduct three categories of references: customer references, professional references on the founding team, and back-channel references that the founders have not provided. Customer references are structured conversations designed to understand not just satisfaction levels but the depth of product integration, the switching cost reality, and the likelihood of expansion. Professional references on the founders address specific questions about how they handle adversity, how they build and maintain team cultures, and whether their self-representation in the investment process is consistent with their behavior as observed by people who have worked closely with them.

Back-channel references are the most sensitive and the most valuable. We always inform founders that we will conduct back-channel research, and we are transparent about the types of people we speak with — former employees, customers who churned, competitors who lost deals to the company. This transparency is non-negotiable for us; we will not conduct back-channel research on a company without their knowledge.

"The question we are ultimately asking in every reference conversation is: is this founder the kind of person who tells investors what they want to hear, or the kind of person who tells investors what they need to hear? The former is a better short-term pitch; the latter is a better long-term investment."

The team calibration process includes a series of structured conversations with the CEO, CFO, CTO, and Head of Sales. These conversations are designed not just to gather information but to assess management quality directly — the speed and precision of thinking, the intellectual honesty about the company's weaknesses, the clarity of the strategic vision, and the quality of the team's self-knowledge about what they do not yet know.

Red Flags That Cause Us to Pass

In the interest of full transparency, here are the diligence findings that most reliably lead us to pass on an otherwise attractive opportunity:

Deteriorating NRR in recent cohorts. If the company's aggregate NRR is 125% but the last two cohorts are tracking at 105%, this signals a product-market fit issue that the headline metrics are obscuring. We pass on companies with this pattern unless there is a compelling, verifiable explanation (a deliberate product repositioning, a managed contraction in a specific customer segment).

Customer concentration above 30% in the top customer. Single-customer dependency at growth stage introduces a binary risk that we find structurally inconsistent with the portfolio construction methodology we use. Exceptions are rare.

Evidence of channel conflict between direct and partner sales. Many companies try to run direct and partner sales motions simultaneously without clear rules of engagement. The result is typically conflict that damages both the partner relationships and the direct team's morale. We look for clarity of channel strategy.

Defensiveness about weaknesses in the first meeting. Founders who cannot clearly and honestly articulate the two or three most significant challenges their company faces are telling us something important about how they will operate as board members communicate difficult news to them. We find intellectual honesty in adversity to be the single most reliable predictor of founder quality in our experience.

Revenue that requires disproportionate services delivery. Services revenue at growth stage is often a sign that the product does not yet deliver value without significant customization and hand-holding. If the gross margin on services is below 30% and services constitute more than 25% of total revenue, we are concerned about the scalability of the business model.

What Triggers a Term Sheet

After eight weeks of structured evaluation, our investment committee convenes to make a binary decision: invest or pass. The committee is looking for a combination of market conviction (the market is large, growing, and structurally supportive of a high-NRR business), company conviction (the metrics are genuinely strong and improving, the technology is differentiated, the customer relationships are durable), and team conviction (the founders are intellectually honest, execution-oriented, and capable of building the organization this company needs to become).

When all three are present — and when the entry valuation is consistent with our return thresholds — we move quickly to a term sheet. We aim to deliver a term sheet within five business days of investment committee approval, and we work to close within 30 days of term sheet execution. We know that speed and reliability in closing are meaningful parts of the value we provide to founders who have other options.

If you are a growth-stage founder considering a raise and you would like to understand more about our process before engaging, we are always happy to have a no-commitment conversation. The investment relationship works best when it begins with transparency from both sides.