MethodMade Studio logo mark

MethodMade

Studio

Experience proof

Real business problems. Practical systems. Verifiable results.

MethodMade Studio is new. The work behind it is not. These case studies translate more than 20 years of technology and software experience into the questions clients actually need answered: Can you understand the mess, choose a sensible path, protect what matters, and finish the work?

Each story protects confidential details while showing the business situation, the decisions that mattered, the measurable change, and where the same systems thinking may apply on a smaller scale.

Featured proof

The work that best represents MethodMade.

The featured set begins with high-trust public delivery, deep hardware and transaction engineering, and a live product migration. It then rounds out the picture with measurable workflow automation, repeatable website delivery, and a focused one-week production build.

High-Trust Systems

Featured

Veterans Legacy Memorial

On a live public memorial platform, accessibility, regression prevention, team capacity, and stakeholder trust were all parts of the same delivery responsibility.

What changed

I helped steward a live veterans memorial platform, rebuilt engineering capacity, strengthened accessibility and quality, and led delivery of administrative capabilities in under two months.

< 2 months

Administrative platform delivery

50%

Regression reduction

2 → 4

Engineering capacity

Read the proof story

Complex Custom Systems

Featured

Production Cash Controller

A Node.js controller translated a binary serial protocol into safe, stateful bill acceptance and dispensing operations for Bitcoin ATMs.

What changed

The controller had to keep software intent, physical cash movement, inventory, persistence, and a remote transaction platform aligned—or make disagreement visible enough to recover safely.

2020

Production release

4

Complete cash procedures

39

REST endpoints

Read the proof story

Modernization & Rescue

Featured

Zero-Downtime Product Migration

A live rewards platform moved from Create React App and Heroku to Next.js and Vercel before a fixed deprecation deadline—with no downtime or known launch defects.

What changed

Three weeks after joining, I learned the flagship product’s deployment path was approaching retirement. I mapped the unfamiliar system, implemented most of the migration, rehearsed the rollout, and reduced launch day to controlled verification.

0

Known launch defects

No downtime

Customer disruption

≈ 30%

Delivery velocity improvement

Read the proof story

Workflow & Automation

Featured

Spreadsheet to Operations Platform

A focused internal tool moved a fragile spreadsheet workflow into production in roughly 2–3 weeks and returned about 295 hours to Operations every month.

What changed

A spreadsheet-based workaround had become a recurring operational dependency. I turned the real process underneath it into a searchable internal application that preserved existing work and removed approximately 295 hours of manual entry each month.

295 hours/month

Manual entry removed

2–3 weeks

Conversation to operational use

Existing data

Active work preserved

Read the proof story

Websites & CMS

Featured

Repeatable Website Delivery

A redesigned delivery system reduced a typical 22-month discovery-to-launch cycle to roughly 2–3 months on the first site, expanded capacity, and supported at least eight distinct association launches.

What changed

The problem was not a lack of effort or creativity. Long handoffs, offshore dependency, and scarce Kentico knowledge were slowing custom association websites. I redesigned the workflow so discovery, design, content, and development could move together.

22 → 2–3 months

Discovery-to-launch lifecycle

2 sites

Parallel delivery capacity

8+

Distinct association websites

Read the proof story

Internal Tools

Featured

One-Week Client-Saving Tool

A loosely defined client commitment became a stable standalone production tool within one week, giving an at-risk account a workable path into the company’s primary platform.

What changed

The client’s data did not fit the standard product, and manual workarounds were putting the relationship at risk. I reduced the problem to one reliable workflow and built a contained tool rather than destabilizing the larger platform.

1 week

Production delivery

Retained

At-risk client relationship

Stable

Post-launch behavior

Read the proof story

Proof library

Newest work first. Browse by the problem you need to solve.

The complete library is ordered in reverse chronological sequence. Filters change what is visible without changing that timeline.

Client problem filters

Showing all 12 proof stories

Modernization & Rescue

Featured

2024

Zero-Downtime Product Migration

Three weeks after joining, I learned the flagship product’s deployment path was approaching retirement. I mapped the unfamiliar system, implemented most of the migration, rehearsed the rollout, and reduced launch day to controlled verification.

0

Known launch defects

No downtime

Customer disruption

Read proof story →

High-Trust Systems

Featured

2023–2024

Veterans Legacy Memorial

I helped steward a live veterans memorial platform, rebuilt engineering capacity, strengthened accessibility and quality, and led delivery of administrative capabilities in under two months.

< 2 months

Administrative platform delivery

50%

Regression reduction

Read proof story →

Data & Integrations

2022

Reliable Data Capability

New client opportunities depended on data the product could not ingest directly. I designed and built a controlled translation layer that preserved business meaning, protected the internal model, and delivered reliable records into existing workflows.

Daily

Automated ingestion

2–3 months

First pipeline to production

Read proof story →

Internal Tools

Featured

2021

One-Week Client-Saving Tool

The client’s data did not fit the standard product, and manual workarounds were putting the relationship at risk. I reduced the problem to one reliable workflow and built a contained tool rather than destabilizing the larger platform.

1 week

Production delivery

Retained

At-risk client relationship

Read proof story →

Workflow & Automation

Featured

2020–2022

Spreadsheet to Operations Platform

A spreadsheet-based workaround had become a recurring operational dependency. I turned the real process underneath it into a searchable internal application that preserved existing work and removed approximately 295 hours of manual entry each month.

295 hours/month

Manual entry removed

2–3 weeks

Conversation to operational use

Read proof story →

Modernization & Rescue

2020–2022

Product Rescue to Flexible Platform

I treated the struggling software and the disconnected team as one system. After stabilizing DisputeFlow 2, we evolved it into DisputeFlow 2.1 so recurring merchant variation could be handled through reusable capabilities instead of repeated one-off engineering.

2 → 2.1

Rescue to extensible platform

Lower workload

Customer Success burden

Read proof story →

Complex Custom Systems

Featured

2019–2020; production release in 2020

Production Cash Controller

The controller had to keep software intent, physical cash movement, inventory, persistence, and a remote transaction platform aligned—or make disagreement visible enough to recover safely.

2020

Production release

4

Complete cash procedures

Read proof story →

Complex Custom Systems

2018–2019; approximately 8 months

Reusable Legacy Game Engine

The business question was whether valuable legacy games could be given a future in the browser. I rebuilt the behavior through a shared engine instead of creating ten disconnected ports.

10

Playable browser proofs

9 + 1

Repeatability and extensibility

Read proof story →

Data & Integrations

2016–2017; approximately 5–6 months

Coaching Analytics MVP

The client brought the basketball vision; I turned conversations, sketches, and paper calculations into a complete data pipeline, analytical model, interface, tests, and runnable handoff.

Accepted

Client-reviewed MVP

5–6 months

Greenfield delivery

Read proof story →

Complex Custom Systems

Concept to production in 2016; approximately 9 months

Casino Operations Platform

The stakeholders knew the business need, but no product, specification, architecture, or implementation plan existed. I modeled the operations, built the complete initial platform, supported the first month live, and transferred it to the next team.

9 months

Concept to production

1 developer

Initial product ownership

Read proof story →

Websites & CMS

Featured

Earlier career; dates generalized

Repeatable Website Delivery

The problem was not a lack of effort or creativity. Long handoffs, offshore dependency, and scarce Kentico knowledge were slowing custom association websites. I redesigned the workflow so discovery, design, content, and development could move together.

22 → 2–3 months

Discovery-to-launch lifecycle

2 sites

Parallel delivery capacity

Read proof story →

Workflow & Automation

2011–2012; approximately 4–5 months

Connected Legal Operations

The office already had useful public records. The real opportunity was connecting retrieval, human review, differentiated outreach, follow-up, permissions, and courtroom information into one operating path.

Daily

Automated data pipeline

4–5 months

Focused request to mature platform

Read proof story →

Honest proof, protected work

Enough detail to build trust. Not enough to expose someone else’s business.

Specific where it matters

The project shape, decisions, technologies, timeframes, and supported outcomes stay concrete.

Generalized where it should

Client data, proprietary schemas, security details, identities, private workflows, and confidential discussions stay protected.

Clear about boundaries

MVPs are not described as production platforms. Team outcomes are not claimed as solo accomplishments. Approximate metrics are labeled honestly.

Next step

Bring the problem that feels messy, repetitive, fragile, or hard to scope.

We do not need to know the solution before the conversation. The first useful step is understanding what the business is carrying now and what kind of change would actually help.