Methodology
Nine phases from setup to post-release review, the practices that run through all of them, and the principles underneath.
Every engagement is shaped by what the organisation already has, how much time there is, and what has been tried before. The phases below are not a template to be run end to end on every programme. They are the full set, and most engagements use some of them properly rather than all of them thinly. Which ones matter is a judgement made at setup, not a decision read off a diagram.
What does not vary is the order of the logic. Understand the service before redesigning it, design it before costing it, and cost it before building it. The phases are not a schedule, though. They overlap, and discovery regularly changes the question badly enough that the scope has to be reset. Where programmes go wrong is the handover between two of them, where the thinking quietly gets lost.
The phases
01
Agree what the engagement is for before any research starts.
Activities
The data request goes out first — it takes longer to come back than anyone expects, and stalls the analysis if it waits.
Example output
Outputs
Scope · data request · research plan · stakeholder map · success measures
02
Look at the service through four lenses, so no single account of it goes unchallenged.
Activities
A running log of the top themes is kept as the interviews land, rather than waiting for one synthesis at the end.
Example output
Outputs
Interview findings · theme log · pain points and opportunities
03
Make the whole system visible at once, so people are arguing about the same picture.
Activities
The blueprint carries customer steps, the organisation’s steps, the systems underneath, and swim lanes for pain points and opportunities.
Example output
Outputs
Journey maps · service blueprint · prioritised journeys
04
Set out everything the organisation could do, before deciding what it will.
Activities
Deliberately not user stories. It sits between the strategy deck and the delivery backlog — fundable by leadership, breakable down by a team.
Example output
Outputs
North Star Backlog · initiative cards · features listed
05
Design what the service should become, then test it before anyone commits to it.
Activities
The prototype is the specification. It is easier to argue with several linked screens than with a document no two people read alike.
Example output
Outputs
To-be journeys · future blueprint · prototypes · feasibility
06
Decide what gets built, in what order, and make the case for paying for it.
Activities
What goes first is what unlocks value soonest. The scorecard and the case go to the board together, workings visible, so a sponsor can argue with the weighting rather than the conclusion.
Example output
Outputs
Scorecard · prioritised roadmap · business case · funded scope
07
Get the organisation ready for what is coming.
Activities
Adoption is where the business case either lands or does not. It is planned before release rather than after it.
Example output
Outputs
Impact assessment · comms and training plan · adoption measures
08
Build it in cycles, and own what ships.
Activities
It runs as a cycle, not a handover. Each pass checks that what discovery established still holds.
Example output
Outputs
Requirements and backlog · working releases · measured outcomes
09
The engagement ends. The service does not.
Activities
This is where the loop closes. What the service does once people use it is better evidence than anything gathered in discovery.
Example output
Outputs
Benefits review · refreshed backlog · handover
Constants
Touring the markets and meeting the local teams early and in person, rather than working from a central view of what they need. Engagement is not a stage to be completed; it decides whether any of the stages work.
Tracking, RAID, cadence, reporting. Unglamorous, and the reason the rest of it holds together.
The link from a requirement back to the research is maintained as the backlog grows, not asserted once at the start. Keeping it is what stops a roadmap becoming a list of things people happened to ask for.
Success criteria defined at setup, carried through the business case, and proved after release rather than claimed.
Synthesis, testing my own thinking, and content production at volume. Everything it produces gets checked. It changes how quickly I get from raw research to something a board can act on. It does not change who is accountable for what goes out.
Feasibility shapes the design from discovery onwards — APIs, data and integration decide what is designable at all. An architecture constraint found late is not a constraint, it is a redesign.
Principles