Services

Research, design, and the systems that follow.

Research tells us what your organization already knows and what it still needs to learn. Design turns that into a plan. The systems that follow are built for your team to run, adapt, and keep improving.

What we do

Our services

Research

We start by listening to your people and looking at your data. What’s missing often already lives within your team or your reporting.

  • Staff interviews
  • Needs assessment
  • Option comparison

From our workBefore our own big decisions, we gather independent positions, run rounds of review, and record where we landed along with any objections. Chris shares this method in his OpenEd26 lightning talk.

Knowledge systems

We help preserve institutional knowledge, from the decisions your team makes and the rationale behind them to the records and guides that bring new people up to speed.

  • Capturing what your team knows
  • Decision records
  • Onboarding and handoffs
  • Professional development and workshops

From our workOur own projects keep decision logs and documentation that both people and agents can read and build on.

Evaluation

Start with a question, choose the data that can answer it, make a change, then check the results. We measure our own website the same way.

  • Evidence design
  • Analytics and reporting
  • Accuracy review

From our workWe monitor the health and performance of clrbx.org with Matomo Cloud analytics, Google Search Console, and heatmaps.

Build, host, and maintain

Websites, networks, inquiry forms, loyalty programs, and custom applications, built around your people. We host them where you choose, monitor them, and maintain what we build.

  • Websites and search
  • Networks
  • Inquiry and loyalty systems
  • Hosting, security, and monitoring

From our workThe Terra Futura website (opens in a new tab), the HiFiCo.Shop (opens in a new tab) online store, and clrbx.org, which we design, host, and maintain. We also built and support the point of sale and loyalty program in the HiFiCo.Shop storefront.

Migration

Moving off a cloud vendor, or bringing AI onto machines you own. We start by working out which systems you need to own and which ones you can keep.

  • Leaving a cloud vendor
  • Local AI in a defined workflow

From our workcommonllama, our open inference and cache engine, runs models on hardware people own and saves the work they’ve already done reading context.

Our practices

What we bring to the work.

  • Business analysis and needs assessment

    Understand your goals, constraints, and obstacles before choosing what to build.

  • Information architecture

    Organize information so people can find what they need for the task in front of them.

  • Decision support and scenario modeling

    Make costs, assumptions, and trade-offs clear enough to act on.

  • Service and systems design

    Shape how people, information, and technology work together around a real need.

  • Continuous improvement

    Watch how a system gets used, make changes, then check whether they helped.

See the work

Our work, in the open.

This website

clrbx.org

Measured and refined with the same loop we bring to clients.

Session resources

Talks and materials

Recordings, handouts, and method guides from our conference sessions.

Work with us

Hire
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About us

Bring a question, a hunch, or a rough idea. Share what you’ve tried. We’ll start by listening, then figure it out together.

We take on paid projects, ongoing technical responsibility, funded research, and co-development. Start a conversation below. We reply within two business days, Monday to Friday.