A few examples of the work.

Following a series of acquisitions in the online event registration and payments space, a company found itself with roughly 12 overlapping products — each built by a different startup in the early days of online registration, each serving a loyal but narrow customer base across categories like endurance races, summer camps, swim clubs, and recreational class registration. As the market matured, customers in every category began demanding more specialized capabilities. The generic, one-size-fits-all platforms that had once been differentiators were no longer enough — but the portfolio was too fragmented to evolve a dozen products in parallel.

Rather than retrofitting or consolidating the existing products one by one, the decision was made to greenfield three new, market-specific registration platforms — each purpose-built for a distinct category of event-based business. All three were designed, built, and launched within 18 months, with customer migration from the legacy products beginning immediately.

One of the three new platforms went on to become the clear market leader in its category, eventually capturing roughly 70% market share — replacing a fragmented portfolio of roughly 12 overlapping products with a focused set of platforms built to evolve with their markets.

A private equity firm was evaluating an investment thesis in the youth activity software market — a fragmented space with no dominant platform, but also no clear, rigorous sizing of the opportunity. Before committing further time and capital, the team needed an independent, evidence-based analysis that could withstand scrutiny in a partner-level meeting.

Built a complete analytical package from the ground up: total addressable market sizing, software-specific market sizing, competitive landscape mapping across the major players in the space, and a three-year beachhead strategy with supporting financial modeling. The output included a partner-ready presentation deck, a detailed analytical foundation document, talking points aligned to the deck, and a working financial model.

The analysis sized the gross market opportunity in the tens of billions, with a software-specific market sized in the hundreds of millions — and modeled a beachhead strategy showing a credible path to $680M–$1.2B in enterprise value over three years. The PE team walked into their partner meeting with a rigorous, defensible foundation for their investment decision — exactly the kind of analysis that's easy to describe and hard to actually execute.

As part of a broader market opportunity assessment in the youth activity software market, the PE firm needed more than just market sizing — they needed to understand the competitive battlefield they'd be stepping into. Who were the entrenched players, how strong were their positions, and critically, how would they likely respond once a well-capitalized new entrant started moving?

Conducted detailed competitive due diligence across the major players in the space — mapping each one's market position, strengths and vulnerabilities, and most likely go-to-market response to new competition. This wasn't just a snapshot of "who's out there" but a forward-looking read on which competitors would react aggressively, which were vulnerable to disruption, and where there was room to build before facing direct confrontation.

The analysis gave the PE team a realistic view of what would happen after they invested, not just whether the opportunity was big enough on paper. This directly shaped the beachhead sequencing strategy — prioritizing entry points where competitive response would be slowest and weakest, giving the new platform room to establish itself before the bigger fights began.

A ~$5M SaaS company built its revenue across two largely independent products — a mature, high-margin product generating roughly $3M with flat growth but minimal churn, and a newer, faster-growing product around $2M where most go-to-market investment was focused, though at lower margins. When the company decided to pursue a sale, it struggled to frame a coherent story for investors: was it a stable, profitable business, or a high-growth opportunity? The two products seemed to pull the narrative in different directions, and buyers tend to reward clarity over complexity.

Worked directly with the leadership team to reframe the apparent tension as a strength — positioning the mature product as a durable, high-margin foundation that funded and de-risked the growth product's expansion, while the growth product represented the forward-looking upside investors were being asked to pay for. Beyond developing the narrative and supporting materials, also sat alongside the leadership team in investor presentations to help present and defend the messaging directly.

The company sold for a strong multiple, with the dual-product structure ultimately serving as a selling point rather than a source of confusion — demonstrating both a profitable core and a credible growth trajectory.

Following a headquarters relocation, a SaaS company needed to rebuild its entire product organization from the ground up — the existing team did not relocate, leaving a critical gap in product leadership at a pivotal moment for the business. The prior organization had operated largely as a heads-down execution function, disconnected from business strategy and go-to-market decisions.

Hired and developed a new product organization structured around clear role accountability — Product Managers who could own market strategy and build credible business cases, Product Owners focused on execution discipline, and leadership roles accountable for portfolio-level decisions and cross-functional alignment with marketing and sales. Rather than simply replacing headcount, the focus was on building a team capable of operating as genuine business leaders, not just feature delivery.

The product organization evolved into a strategic driver of the business rather than a back-office execution function. Its scope and influence expanded over time to include oversight of M&A, business operations, and customer success — reflecting the level of trust and capability the rebuilt team had earned.

A company was consistently missing sales targets, and the resulting finger-pointing had become a structural problem. Marketing argued the pipeline was more than sufficient; sales argued it was full of unqualified "fluff." Each function had its own operations team — and unsurprisingly, each ops team's metrics supported its own function's narrative. There was no shared source of truth, just two competing versions of reality.

Sales Ops and Marketing Ops were pulled out of their respective functions and combined into a single, independent BizOps team — accountable to neither function, only to the truth. This team built one unified set of pipeline metrics spanning the full funnel, from MQLs through win/loss, and used it to coach both marketing and sales on where the real gaps were.

Pipeline health improved as both functions aligned around shared, objective metrics instead of competing narratives. As a byproduct of consolidation, overall operations headcount dropped by 50% — a leaner team that was also more effective, because it had no incentive to spin the numbers in either direction.

A home services company wanted to use AI to grow the business but didn't know where to start — a common position for companies that sense AI's potential but lack a concrete, near-term application tied to their specific business.

Proposed and designed an AI-driven feedback loop built around a known growth lever: online reviews and star ratings have an outsized effect on inbound leads for home services businesses. After each service visit, an AI agent automatically contacts the customer with a few simple questions about their experience, assessing sentiment from both the answers and tone of voice. If the feedback is positive, the AI drafts a couple of review options — written in the customer's own words wherever possible — and removes as much friction as possible from posting a 5-star review. If the feedback is negative, the system instead notifies the local manager to make a direct call and resolve the issue before it becomes a public complaint.

A single system that does double duty — systematically growing the company's online reputation (and therefore inbound leads) while catching and resolving service issues before they go public. The approach turned an existing customer touchpoint into both a marketing engine and an early-warning system, using AI to do what would otherwise require a dedicated team to do manually at any scale.