YAGGI
You’re All Going to Get It
Start discovery
Start with the problem. Not the software.

We start with a conversation.

YAGGI helps a business understand what is really getting in the way before anyone decides what to buy, change, automate or build.

You can start online before we meet, or begin with a guided conversation. Either way, the purpose is the same: understand what is really happening before anyone jumps to a solution.

If you start online, YAGGI saves the information as a case so a later conversation can start further ahead rather than making you repeat everything.

How YAGGI works

Human judgement first. Systematic evidence underneath.

Have the real conversation

A facilitator helps the business explain what is slow, frustrating, repetitive, costly, easily missed or too dependent on one person.

Find the actual problem

YAGGI captures the evidence, looks for patterns and separates the underlying issue from the first solution somebody happened to think of.

Check what already exists

Before building anything, we look at process, training, configuration and the systems the organisation already pays for.

Make the smallest useful move

That might be a process change, training, configuration, integration, automation or — only where there is a real gap — a focused new tool.

What happens after discovery

Not every problem needs software.

Sometimes the answer is a clearer process. Sometimes people need training or a system configured properly. Sometimes two existing tools need connecting.

Automation can remove repeated admin. A new application only makes sense when there is a genuine capability gap.

Connect where possible. Build where necessary.

Working examples

Different problems. The same discipline.

These are examples already emerging from the SHACADEMY systems work. They are not meant to show that every discovery ends in software — they show how tightly scoped solutions can sit around existing operations.

RE:ME

Live

Simplify an existing customer journey

A focused small-business system for vouchers, booking and communication without replacing more of the operation than necessary.

The problem

The customer journey needed to be simpler: clearer booking, easier voucher purchase, cleaner communication and fewer unnecessary options.

What we did

We kept the service model intact and built only the missing pieces around it — a focused voucher flow, Stripe checkout, customer emails and clearer booking information.

Why this approach

The aim was not to replace the business with software. It was to remove friction around the parts customers and the practitioner actually needed.

What happened / next evidence

The RE:ME system is live and taking real payments. The next measure is operational: whether it reduces manual admin and makes the customer journey easier over repeated use.

Fast Book

Pilot

Add convenience without replacing the source system

A faster layer for repeat activity booking while the existing venue platform remains responsible for payment, attendance and booking records.

The problem

Regular swimmers and activity customers can face repeated logins, session searches and different booking journeys across venues.

What we did

Fast Book adds a convenience layer on top of existing provider systems rather than trying to become the booking platform itself.

Why this approach

The venue's existing system remains the source of truth for availability, payment and attendance. That protects operations while improving the customer journey.

What happened / next evidence

The SHAC pilot has already tested persistent login and faster access to sessions. Multi-venue adapters are still being developed, so this remains a pilot rather than a finished multi-venue product.

Survey / HEAT

Pilot

Turn field evidence into a useful report

Structured capture, interpretation and a human-editable final report so the output can be reviewed before it is shared.

The problem

Field conversations and surveys can produce useful evidence but leave somebody with the manual job of turning notes into a clear, usable report.

What we did

The survey captures structured evidence, helps interpret what was said, creates a draft report and then deliberately puts a human review/edit stage before anything is sent.

Why this approach

The system should speed up analysis without pretending that raw responses or AI interpretation are automatically the final truth.

What happened / next evidence

The current version is in pilot testing. The key design decision is already in place: the final report is editable and must be reviewed by a person before completion and sending.

Ask Matt

In development

Help people make the next decision

A guidance layer that combines structured operational information with a clear route to a suitable place, session or next action.

The problem

People often know they want to swim, paddle or try an activity, but not which venue, session or route is actually suitable for them today.

What we did

Ask Matt combines location, suitability, access, kit and operational information to guide someone towards a practical next step rather than just returning a list of places.

Why this approach

The useful answer is not simply 'what is nearby?' It is 'what is appropriate for this person, with these constraints, now?'

What happened / next evidence

The initial London/Surrey model is being developed and tested. The value will be proven through better recommendations, fewer unsuitable choices and useful provider referrals.

A practical first step

Tell us what feels harder than it should.

We do not need a software brief. We need the real story of what happens today, where it gets stuck and what it costs in time, effort, errors or missed opportunity.