Matt Murphy

If you want specifics

Things we could work on

Figuring out what’s worth building, then building it. I like to start small and end up with something you can actually use.

My specialty

Find the training programs worth building

For colleges, employers and training providers

You have a program idea, a request from an employer, or a stack of labor-market reports. You need to know whether it’s worth building, what it should teach, and whether it can pay for itself.

A clear go, revise or stop decision you can defend, and when it’s a go, the materials to launch it.

  • Start here

    Validation study

    One program idea, examined properly: demand, competition, employer fit and a scenario-based financial model, ending in a go, revise or stop recommendation.

  • Or here

    Course-development package

    One course, scoped and built: competencies, outline, online content, assessments and instructor materials, ready for your instructors.

A peek inside each one

Validation study · decision summary

Should this program be built?

Demand
Is anyone hiring for this, near you?
A sourced chart and table
Competition
Who already teaches it, and where’s the gap?
A short comparison of existing options
Employer fit
Would local employers hire from it?
Evidence from employers, with its sources
Scenario model
Can it pay for itself?
Cautious, expected and ambitious cases

Recommendation

GoReviseStop

The summary ends on one of these, with the reasons.

Course-development package · contents

One course, ready to teach

Competencies
What will learners be able to do?
Plain statements an employer would recognize
Outline
In what order?
A unit-by-unit map
Online content
What do learners actually work through?
Lesson pages, media and activities
Assessments
How will you know they can do it?
Checks, projects and rubrics
Instructor materials
Could another instructor teach it?
A facilitator guide and teaching notes
Talk about a program idea

Related

Hand off the busywork

For small teams and owner-operated businesses

The same careful work eats part of every week: copying details between systems, chasing missing information, rebuilding the same report by hand.

A process that handles the repetitive parts, shows its work, and leaves the judgment calls with your people.

  • Forms and emails that land in one place
  • Reports that put themselves together
  • Answers your team can actually find
  • AI drafts a person checks before anything goes out
  • Small tools built around how you already work

Start here

Workflow to prototype

We map one recurring task together, then I build a working prototype you can try with your own data.

Talk about a workflow

Related

Get your idea out of your head

For founders and domain experts

You know a field well enough to see what’s missing. The idea still lives in your head, a document or a spreadsheet.

Clear user flows, then a prototype or a scoped first version that people can actually try.

Scope Best fit: web tools and focused products. Not a fit: safety-critical, medical or payments infrastructure.

  • Product discovery
  • User flows
  • Prototypes
  • Scoped MVPs
  • Targeted improvements to an existing product

Start here

Discovery to prototype

We work out who it’s for and what they need first, then I build a clickable prototype you can put in front of real people.

Talk about an idea

Related

A website people can actually find

For small businesses, nonprofits and solo operators

Your site is out of date, hard to update or hard to find. Social media happens whenever someone has a spare minute.

A clear, fast site you can keep current, and a simple plan for search, email and social that fits the time you actually have.

Scope AI does the heavy lifting behind the scenes; you approve everything that goes out.

  • Web design & development
  • SEO audits
  • Social media planning
  • Email newsletters
  • Content plans

Start here

Site & search check-up

I look at your site, how it shows up in search and your social presence, then hand you a short, prioritized list of fixes.

Talk about a website

Related

AI drafts, I sign off

How I build

These days I design products and direct AI coding agents to build them, under a release process I wrote myself: evidence-graded checkpoints, explicit approval before anything reaches production, and a rule that public claims have to match what’s actually built. AI drafts, sorts and checks. People make the calls that carry real consequences.

Whether it’s a course, a tool or a shelf of inventory, the work tends to go the same way.

Understand the work. Spend time with the people doing it. Map what actually happens, including the workarounds nobody wrote down.

Find what matters most. Find the one or two changes that remove the most friction or risk, and agree to leave the rest alone for now.

Build something useful. A working prototype beats a slide deck. Build the smallest thing that can be tried with real data.

Test with people. Put it in front of the people who’ll use it. Watch where they hesitate, and where they stop needing you.

Improve what matters. Keep what earns its place, cut what doesn’t, and write down what was learned so the next decision is easier.

The short version is printed on the back of my card.

House rules

  1. Figure out what’s worth building first.
  2. Something you can click beats a slide deck.
  3. AI does the busywork. People make the calls.
  4. Start small. Keep making it better.

Who is Matt? · 001/012

Back of card 001

Also

  • Something else in mind?If it’s a good problem, I’d like to hear about it.Say hello