Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

While strong data is a necessary condition for investment, it shouldn't be the sole determinant. Focusing too intently on a single metric, like quarterly net new ARR, can cause you to miss the larger secular trend. Data provides guideposts, but you can't lose sight of the bigger picture, the 'forest through the trees.'

Related Insights

Many late-stage investors focus heavily on data and metrics, forgetting that the quality of the leadership team remains as critical as in the seed stage. A new CEO, for example, can completely pivot a large company and reignite growth, a factor that quantitative analysis often misses.

Vanity metrics like total revenue can be misleading. A startup might acquire many low-priced, low-usage customers without solving a core problem. Deep, consistent user engagement statistics are a much stronger indicator of genuine, 'found' demand than top-line numbers alone.

Many founders mistakenly define Product-Market Fit by revenue (e.g., "$1M ARR"). The correct measure is the ability to predictably create customer value. This is best quantified by a leading indicator for long-term retention, not sales figures, as revenue can be achieved without true market fit.

A key differentiator for companies that scale successfully is their focus. Failing companies obsess over and incentivize leading indicators like MQL volume. Successful ones use them only as directional guides while remaining fixated on lagging indicators like revenue.

Effective due diligence isn't a checklist, but the collection of many small data points—revenue, team retention, customer love, CVC interest. A strong investment is a "beam" where all points align positively. Any misalignment creates doubt and likely signals a "no," adhering to the "if it's not a hell yes, it's a no" rule.

Many leaders focus on data for backward-looking reporting, treating it like infrastructure. The real value comes from using data strategically for prediction and prescription. This requires foundational investment in technology, architecture, and machine learning capabilities to forecast what will happen and what actions to take.

Successful investing requires strong conviction. However, investors must avoid becoming so emotionally attached to their thesis or a company that they ignore or misinterpret clear negative signals. The key is to remain objective and data-driven, even when you believe strongly in an investment.

Investors obsess over quantifiable data like quarterly margins ("branches"). However, the real drivers of long-term value are qualitative factors like company culture and management motivation ("roots"). These causal forces require intuition, not just spreadsheets, to grasp.

Relying on the once-golden 'T2D3' growth metric for SaaS companies is now terrible advice for 2025. The market has shifted, and founders with these strong historical metrics are still struggling to get funded, indicating that even elite growth is no longer a guarantee of investment.

Focusing on metrics like click-through rates without deep qualitative understanding of customer motivations leads to scattered strategies. This busywork creates an illusion of progress while distracting from foundational issues. Start with the qualitative "why" before measuring the quantitative "what."

Data Is a Prerequisite, Not the Answer; Over-reliance on Metrics Causes Missed Opportunities | RiffOn