Case studies

How I make the decision behind the outcome visible.

These narratives show the product problem, my role, the causal mechanism, the decision log, the technical surface, and what changed for customers, users, teams, or the business after launch.

30-second proof

Problem

The team needed to identify, prioritize, and coordinate product experiments that could improve advertisement spend while relying on clear metrics, operational signals, and cross-functional execution.

Product move

Tied experiment selection and iteration to spend behavior, performance signals, and cross-functional measurement instead of treating experimentation as isolated feature output.

Result

Drove a 10% increase in business advertisement spend.

Growth product managementProduct experimentationProduct analyticsCross-functional leadership

Context

Meta's advertising products operate in a high-scale environment where small improvements can create meaningful business impact. The work required collaboration across product, engineering, data, and stakeholder teams.

Problem

The team needed to identify, prioritize, and coordinate product experiments that could improve advertisement spend while relying on clear metrics, operational signals, and cross-functional execution.

Role

As Senior Product Manager, I coordinated experiments with engineering and data teams, monitored product performance metrics, and translated signals into prioritization and iteration decisions.

Impact mechanism

Tied experiment selection and iteration to spend behavior, performance signals, and cross-functional measurement instead of treating experimentation as isolated feature output.

Product approach

Aligned experiment goals with business advertisement spend outcomes and measurable product success metrics.

Partnered with engineering and data teams to coordinate execution and measurement.

Used performance metrics and operational indicators to inform prioritization and ongoing improvements.

Decision log

Decision
Prioritized experiments with measurable advertisement spend signals instead of loosely defined engagement improvements.
Constraint
At Meta scale, even small product changes needed clear instrumentation, stakeholder confidence, and careful readouts.
Tradeoff
Moved faster on narrower experiment bets while resisting broader feature scope that would slow learning.
Result
Created a clearer path from experiment execution to the 10% spend increase.
Decision
Used performance metrics and operational indicators as the main iteration input.
Constraint
The work sat across product, engineering, data, and business stakeholders with different success lenses.
Tradeoff
Reduced preference-driven prioritization in favor of evidence strong enough to align the group.
Result
Kept the team oriented around measurable business impact throughout experimentation.

Technical judgment

High-scale experimentation environment involving product metrics, performance signals, data-team partnership, and engineering coordination.

  • Defined experiment success around measurable spend behavior and product performance indicators.
  • Coordinated with data and engineering partners so iteration decisions were grounded in instrumented signals.
  • Balanced speed of learning with confidence in measurement and product quality.

30-second proof

Problem

The organization needed a platform and operating model that could reduce repetitive administrative work, improve visibility, support reporting, and create a reliable foundation for long-term operational scale.

Product move

Chose workflow redesign before automation, then sequenced platform delivery around the manual work that created the clearest time, cost, visibility, and maintainability gains.

Result

Reduced 4,000+ hours of manual work annually and lowered operational costs by $30K+.

Enterprise product strategyPlatform modernizationStakeholder alignmentProduct operations

Context

ShareWord Global needed a more scalable way to manage administrative work across a global nonprofit operating environment. Teams were relying on manual processes that consumed significant time, created operational friction, and made it harder to sustain growth.

Problem

The organization needed a platform and operating model that could reduce repetitive administrative work, improve visibility, support reporting, and create a reliable foundation for long-term operational scale.

Role

As Senior Product Manager, I led product discovery, planning, design, implementation, and continuous improvement for the enterprise application management platform, working across business owners, operations, engineering, IT, marketing, and compliance.

Impact mechanism

Chose workflow redesign before automation, then sequenced platform delivery around the manual work that created the clearest time, cost, visibility, and maintainability gains.

Product approach

Identified the highest-friction workflows and the operational outcomes that mattered most: time saved, cost reduction, maintainability, and stakeholder visibility.

Defined the roadmap, release plan, business processes, risk register, mitigation strategies, and change communication needed to move from manual operations to a structured platform.

Balanced speed with sustainability so the work redesigned workflows instead of simply automating broken processes.

Decision log

Decision
Redesigned the operating workflow before automating it.
Constraint
The existing process carried manual work, compliance expectations, non-technical users, and long-term ownership risk.
Tradeoff
Slowed down the first implementation phase enough to avoid automating broken processes.
Result
Reduced 4,000+ annual hours and created a platform foundation teams could maintain after launch.
Decision
Prioritized workflows where manual effort, stakeholder visibility, and cost reduction overlapped.
Constraint
Multiple teams had legitimate requests, but not every request had the same operational leverage.
Tradeoff
Deferred lower-impact enhancements to protect focus on measurable efficiency and maintainability.
Result
Lowered operational costs by $30K+ while improving reporting and workflow visibility.

Technical judgment

Enterprise workflow platform modernization across business owners, operations, engineering, IT, marketing, compliance, reporting needs, SOPs, and access/process governance.

  • Separated workflow redesign from automation so the platform did not encode broken manual processes.
  • Balanced feasibility, compliance, maintainability, and adoption risk when sequencing the roadmap.
  • Created documentation, training, and post-launch support so the system could survive beyond implementation.

30-second proof

Problem

The organization needed a learning management solution that could support active users, standardize onboarding, improve completion rates, and make training easier to measure and manage over time.

Product move

Treated LMS selection as an adoption and operating-system decision, not just a software procurement decision.

Result

Improved training completion rates by an estimated 25-30%.

Product discoveryUser onboardingChange managementOperational scalability

Context

ShareWord Global needed to improve how volunteers were trained, onboarded, and supported. Training experiences were inconsistent, which made it harder to scale onboarding.

Problem

The organization needed a learning management solution that could support active users, standardize onboarding, improve completion rates, and make training easier to measure and manage over time.

Role

I led the end-to-end selection and implementation of the LMS, including stakeholder discovery, requirements definition, option evaluation, implementation coordination, rollout support, and adoption planning.

Impact mechanism

Treated LMS selection as an adoption and operating-system decision, not just a software procurement decision.

Product approach

Clarified the learning, onboarding, adoption, and measurement outcomes the organization needed.

Defined product requirements and evaluated technical, operational, and long-term administrative fit.

Focused on adoption as much as functionality so the platform became part of the operating process.

Decision log

Decision
Selected for long-term usability, administration, and measurement fit rather than the largest feature checklist.
Constraint
The platform had to work for volunteers and internal owners with different comfort levels, workflows, and training needs.
Tradeoff
Accepted a more disciplined requirements process to avoid choosing a tool that would create administrative drag.
Result
Improved training completion by an estimated 25-30% and made onboarding easier to measure.
Decision
Made adoption planning part of implementation, not a post-launch communication task.
Constraint
A learning platform only creates value if users understand where it fits into their real workflow.
Tradeoff
Invested in rollout support and operating clarity instead of pushing only for launch speed.
Result
Helped the LMS become part of everyday volunteer onboarding.

Technical judgment

Learning management implementation involving requirements definition, user provisioning assumptions, content operations, reporting needs, and administrative ownership.

  • Evaluated the LMS against operational fit, reporting needs, and long-term administration.
  • Balanced standardized onboarding with enough flexibility for different volunteer journeys.
  • Connected implementation details to adoption risk and measurable training completion.

30-second proof

Problem

The platform was facing churn pressure and needed a more structured way to prioritize improvements, manage releases, reduce delivery risk, and respond to customer and stakeholder needs.

Product move

Reoriented planning around retention impact, risk visibility, release reliability, and customer confidence instead of managing the roadmap as a list of parallel requests.

Result

Contributed to a 31% churn reduction.

Retention-focused product managementRoadmap ownershipRisk managementCross-functional delivery

Context

A healthcare platform needed stronger delivery discipline, clearer roadmaps, and better risk management across multiple concurrent initiatives.

Problem

The platform was facing churn pressure and needed a more structured way to prioritize improvements, manage releases, reduce delivery risk, and respond to customer and stakeholder needs.

Role

As Senior Product Manager, I developed and maintained product roadmaps, release schedules, risk registers, mitigation strategies, and stakeholder alignment plans across multiple initiatives.

Impact mechanism

Reoriented planning around retention impact, risk visibility, release reliability, and customer confidence instead of managing the roadmap as a list of parallel requests.

Product approach

Connected delivery planning to the business outcome that mattered most: reducing churn.

Clarified priorities, surfaced risks earlier, aligned stakeholders around tradeoffs, and ensured release plans supported customer retention and business impact.

Used performance indicators and stakeholder feedback to inform prioritization and iteration.

Decision log

Decision
Prioritized roadmap work using retention impact, feasibility, urgency, and delivery risk.
Constraint
The platform had multiple concurrent initiatives competing for attention while churn pressure required sharper focus.
Tradeoff
Deferred lower-confidence work so teams could spend more energy on initiatives tied to customer retention.
Result
Contributed to a 31% churn reduction through clearer planning and more focused execution.
Decision
Made risks and mitigation plans visible before they became release blockers.
Constraint
Healthcare platform work carried stakeholder, delivery, and customer-confidence risk across multiple initiatives.
Tradeoff
Added planning discipline upfront to reduce late-stage churn in delivery conversations.
Result
Improved release coordination and helped stakeholders understand why tradeoffs were being made.

Technical judgment

Healthcare platform roadmap and release work involving performance indicators, risk registers, release schedules, stakeholder dependencies, and customer retention signals.

  • Connected technical delivery sequencing to retention impact rather than treating engineering work as neutral output.
  • Used risk registers and mitigation plans to expose dependency and release risk early.
  • Balanced urgency with feasibility so release plans could improve customer confidence.

30-second proof

Problem

The mortgage processing workflow was too slow, creating customer friction, operational strain, and an opportunity to improve service quality through process optimization.

Product move

Mapped the full mortgage journey across users, approvals, systems, vendors, and handoffs, then focused delivery on the bottlenecks slowing decisions.

Result

Reduced mortgage processing turnaround from 4 weeks to 1 week.

Process optimizationWorkflow modernizationFinancial services deliveryStakeholder coordination

Context

Northern Credit Union was running an organizational optimization program with parallel enterprise initiatives, including Azure cloud migration, software implementation, infrastructure modernization, and reporting access improvements.

Problem

The mortgage processing workflow was too slow, creating customer friction, operational strain, and an opportunity to improve service quality through process optimization.

Role

As Project Manager, I led planning, feasibility analysis, cost estimation, risk assessment, vendor coordination, and implementation activities across multiple platform modernization initiatives.

Impact mechanism

Mapped the full mortgage journey across users, approvals, systems, vendors, and handoffs, then focused delivery on the bottlenecks slowing decisions.

Product approach

Approached the mortgage workflow as a product, operations, and customer journey problem.

Mapped where users, internal teams, systems, and approvals were slowing down the process.

Translated operational pain into a practical improvement plan that teams could adopt.

Decision log

Decision
Treated mortgage processing as a customer journey and systems-flow problem, not just an internal process issue.
Constraint
Turnaround depended on approvals, handoffs, vendor coordination, reporting access, and operational controls.
Tradeoff
Focused on the bottlenecks with the greatest time impact instead of attempting a broad modernization all at once.
Result
Reduced mortgage processing turnaround from 4 weeks to 1 week.
Decision
Aligned workflow changes with the broader Azure, infrastructure, and software implementation program.
Constraint
Several enterprise initiatives were running in parallel, creating dependency and sequencing risk.
Tradeoff
Protected service quality and operational control while still pushing for speed improvements.
Result
Improved turnaround without isolating the workflow redesign from the broader technical modernization effort.

Technical judgment

Enterprise modernization environment involving Azure cloud migration, software implementation, infrastructure upgrades, vendor coordination, licensing, provisioning, and reporting access.

  • Mapped where systems, users, approvals, and vendors slowed the mortgage workflow.
  • Sequenced process improvements around technical dependencies and organizational standards.
  • Balanced speed, service quality, risk, and operational control across concurrent modernization initiatives.

30-second proof

Problem

Insurance processes were too dependent on slower traditional workflows. Customers needed a simpler mobile experience, and the business needed a digital product that could acquire customers, improve engagement, and generate premium revenue.

Product move

Connected mobile acquisition to operational readiness across claims, policy issuance, customer support, and internal tools so demand could turn into serviced insurance revenue.

Result

Acquired 40,000+ customers and generated $1.2M in premium revenue.

Mobile product launchCustomer acquisitionRevenue growthWorkflow automation

Context

Cornerstone Insurance needed a stronger digital channel for customers to access insurance products and services.

Problem

Insurance processes were too dependent on slower traditional workflows. Customers needed a simpler mobile experience, and the business needed a digital product that could acquire customers, improve engagement, and generate premium revenue.

Role

As Product Manager, I led the design and launch of the mobile insurance application and managed product work across claims processing, policy issuance, customer support workflows, and internal tool optimization.

Impact mechanism

Connected mobile acquisition to operational readiness across claims, policy issuance, customer support, and internal tools so demand could turn into serviced insurance revenue.

Product approach

Balanced customer access, usability, acquisition, revenue, and service consistency.

Worked across product design, delivery, customer journey improvement, workflow automation, and internal process optimization.

Improved related operational workflows so the customer-facing experience was supported by execution behind the scenes.

Decision log

Decision
Paired the mobile app launch with supporting workflow improvements in claims, policy issuance, and customer support.
Constraint
A digital acquisition channel would fail if internal insurance operations could not service the demand.
Tradeoff
Balanced visible customer-facing launch work with less visible operational tooling and process readiness.
Result
Acquired 40,000+ customers and generated $1.2M in premium revenue.
Decision
Used usability and customer access as primary adoption drivers.
Constraint
Insurance products were dependent on slower traditional workflows and customer trust was sensitive to friction.
Tradeoff
Simplified the customer journey while preserving enough operational control for policy and claims workflows.
Result
Expanded digital access while improving related service workflows behind the scenes.

Technical judgment

Mobile insurance product launch connected to claims processing, policy issuance, customer support workflows, automation, and internal tool optimization.

  • Linked front-end mobile growth to back-office operational readiness.
  • Balanced customer usability with claims, policy, and support workflow constraints.
  • Used automation and internal tool improvements to make digital growth serviceable.

30-second proof

Problem

Many collaboration problems are treated as performance issues when they are often communication, trust, workflow, or team-dynamics issues.

Product move

Positioned analytics around practical manager and team conversations, making personality data useful for onboarding, coaching, conflict prevention, and project-team formation.

Result

Created a founder-led analytics product focused on team collaboration, user empathy, onboarding, and conflict management.

Founder mindsetZero-to-one product buildingProduct discoveryProduct analytics

Context

Teams often struggle because people communicate differently, make decisions differently, and experience conflict through different assumptions.

Problem

Many collaboration problems are treated as performance issues when they are often communication, trust, workflow, or team-dynamics issues.

Role

As founder and product builder, I built Haziwa as a personality analytics product focused on team collaboration, manager insight, onboarding, and conflict management.

Impact mechanism

Positioned analytics around practical manager and team conversations, making personality data useful for onboarding, coaching, conflict prevention, and project-team formation.

Product approach

Designed around the idea that better self-awareness and team awareness can reduce friction and improve communication.

Focused product direction on workplace use cases such as onboarding, manager coaching, conflict prevention, project team formation, and collaboration improvement.

Used user research, product discovery, and product sense to frame personality analytics as a practical collaboration tool.

Decision log

Decision
Framed personality analytics as a collaboration tool instead of a labeling system.
Constraint
People data can easily feel judgmental or abstract if it does not connect to real workplace moments.
Tradeoff
Kept the product anchored in practical team use cases rather than broad personality-theory coverage.
Result
Created a founder-led analytics product focused on team collaboration, onboarding, and conflict management.
Decision
Designed insights for manager conversations, project-team formation, and conflict prevention.
Constraint
The value depended on making interpersonal signals actionable without reducing people to fixed traits.
Tradeoff
Prioritized trust, language, and usability over maximizing the complexity of the analytics model.
Result
Made the product direction more usable for teams trying to improve collaboration.

Technical judgment

Founder-led analytics product involving insight design, collaboration workflows, onboarding use cases, manager-facing signals, and team-pattern interpretation.

  • Translated qualitative collaboration problems into productized analytics and insight patterns.
  • Balanced psychological safety with actionable manager and team signals.
  • Focused the product architecture around practical workplace workflows rather than abstract labels.