Profitability Center: Unifying a $200M ARR Platform Into One Actionable View
The new CEO's first priority. I took ownership across design, product scoping, and stakeholder management to unify a fragmented $200M ARR ecosystem into one intelligent interface.
One Platform, One View
The Profitability Center unifies a $200M ARR platform into one clean, intelligent, actionable interface. It brings together previously scattered value across the Optimal Blue ecosystem: forecasting, pricing, hedging, benchmarking. All in one place, for the first time.
The business case is straightforward. Optimal Blue is the industry leader, but newer competitors have been chipping away at the edges. This dashboard attacks churn on multiple fronts: it creates brand value by consolidating disparate systems into a single view, it modernizes the first thing customers see every day when they log in, and it champions the “One Optimal Blue” vision that goes hand-in-hand with an organization-wide push toward a unified design system.
Featured at the Optimal Blue 2026 Summit and covered by national trade press.
Why This Existed
Optimal Blue had been sold from one public company to another. New CEO. New senior leadership. A company entering a new era.
The CEO’s first priority when he joined: fix this page.
The existing homepage was outdated, provided almost no value, and reflected poorly on a company serving the mortgage industry’s most sophisticated capital markets teams. It was a constant negative signal to the entire customer base. Every login started with a reminder that the platform hadn’t kept up.
This wasn’t a data access problem. It was a brand problem, a retention problem, and an opportunity to redefine how customers perceived the entire ecosystem.
What I Took On
The directive came from the CEO and CPO. Strong desire to drive change, but no clear path forward. Senior product leaders had the vision but not the bandwidth to figure out the specifics.
So I took on design, scoping, and project management — working directly with the CPO and Product VPs. Their limited availability meant frequent feedback loops weren’t an option. The work had to be self-directed.
That started with interviews across the entire product team. The goal was to identify which systems, metrics, and tools scattered across Optimal Blue’s products would be most valuable in a single consolidated view. Hedging data next to pricing data next to benchmarking data. From those interviews, 38 potential widget concepts surfaced. Narrowing that to the right 7 widgets (with 11 sub-widgets across tabs) was the first real scoping decision of the project.
By the time I sat down with the CPO or VPs, the thinking was done. Three options, a recommendation, a rationale. Their input sharpened the final direction, and we moved.
“Alec brought a very vague idea into a concrete product.” — CPO
Decisions That Shaped It
38 ideas down to 7 widgets
The PM interviews produced far more good ideas than a first release could support. Pricing analytics, hedging performance, benchmarking comparisons, market activity, economic indicators, AI-generated insights, content from OB Central. Each had a reasonable case. The discipline was in what to cut.
The filter: which widgets create immediate, visible value the moment a customer logs in? Not which are most technically impressive or most requested by a single team. The dashboard needed to tell a cohesive story about profitability across the ecosystem — not serve as a catalog of disconnected metrics from every team. Seven widgets shipped. The other 31 stayed on the backlog with clear criteria for when they’d earn a spot.
Daily news briefing became the economic calendar
Early on, there was real momentum behind a “five things to start your day” concept for the Market Intelligence tab. Curated news articles from industry publications, designed to make the dashboard a habitual morning touchpoint. The engagement logic was sound.
The problems were practical. Sourcing and approving content daily created an operational burden with no clear owner. Worse, selecting specific publications introduced bias risk. Whose reporting gets featured? Whose doesn’t? For a platform serving the entire mortgage industry, that was a liability.
The economic calendar solved the same problem differently. Important industry events, rate decisions, data releases. All presented as unbiased, factual information. Same daily relevance, none of the editorial risk.
Read-only widgets for phase one
There was pressure to make the dashboard interactive from day one. Let users drill into data, take actions, configure views. All reasonable v2 features. For the MVP, the decision was to surface data we already had and present it clearly rather than build new interaction models that would triple scope and delay launch.
The dashboard needed to prove its value through clarity, not complexity. Ship the consolidated view first. Validate that customers actually engage with it. Then layer in interactivity.
From Proof of Concept to Production
Before committing engineering resources, we ran a second round of validation research with some of our largest accounts. The feedback was overwhelmingly positive — it affirmed the general direction and provided granular refinements on data types, time frames, and widget-level details that tightened the final spec.
Once senior leadership approved the direction, the project shifted gears. I began working directly with the PMs and engineers who would own building and shipping it — aligning on scope, addressing technical blockers as they arose, and pushing the build across the finish line.
What Comes Next
The Profitability Center isn’t a dashboard. It’s a new front door. The first step in shifting Optimal Blue’s product narrative from “we have many tools” to “we have one platform.”
The next phase deepens that. Ask OBi will be embedded directly into individual widgets, letting users discuss specific data in context rather than switching to a separate panel. Drill-downs, configurable views, and action triggers follow as adoption data validates which widgets earn that investment.