People & headcount
Hold headcount flat, redeploy people or reconsider vacancies. Decide what the business needs to become capable of doing.
Explore examples →The next layer of the existing pathway
Create capacity in the functions. Agree its destination as a leadership team.
The 10·10·10·10 split illustrates four choices. Adjust it to the strategy and the situation your business is in.
Hold headcount flat, redeploy people or reconsider vacancies. Decide what the business needs to become capable of doing.
Explore examples →Explore what you can own—and which part of your offer customers could increasingly do themselves.
Explore examples →Investigate how AI changes behaviour, assumptions and the places where work happens.
Explore examples →Combine the expertise and decisions needed to test an opportunity that no function can realise alone.
Explore examples →You might hold headcount flat and invest all released capacity in risk and growth. You might build internal capability, absorb demand or reconsider selected vacancies. The leadership team agrees the choices together.
Try a different allocation →The first day makes the next step possible
PERSONAL + TEAM · a first step
In our experience, the first day is often more accessible: improve how people frame questions, prepare, compare, draft and check their work.
20% of the original week. Protect some of that time for the work needed to go further.
Reinvest in redesign · the harder step
The next day usually requires changing workflows, handoffs, roles and decisions together. The first released day helps make that work possible.
Two days in total: 40% of the original week. Establish the result in your own work before committing it elsewhere.
11 perspectives · four capacity choices
Each example connects a situation, an assumption worth revisiting and one useful thing to do. Follow the connection into another function when the outcome needs it.
All 44 examples
Producing more versions is easier to count than retaining the ability to know whether they work.
Explore the example →More selling capacity does not have to mean more of the old sales activity.
Explore the example →The work that is easiest to accelerate can crowd out the work that tells you what is worth building.
Explore the example →Automation can change the purpose of the human service team.
Explore the example →Time released is an opportunity. Cash released requires a separate operating decision.
Explore the example →Capacity to produce and capacity to understand can move in different directions.
Explore the example →AI changes bundles of work. A vacancy gives you a decision about one person.
Explore the example →A smaller workload can be a more demanding workload.
Explore the example →Removing effort from today’s work can remove experience from tomorrow’s expert.
Explore the example →A falling review workload is open to more than one explanation.
Explore the example →A stable headcount can conceal a substantial change in what the organisation is capable of doing.
Explore the example →The right unit of the sourcing decision may be a capability, not the whole agency.
Explore the example →Renewal can remain healthy while the customer’s reason to buy particular work is shrinking.
Explore the example →Your customer’s adequate alternative can redefine what they value in your product.
Explore the example →Owning the report is less valuable than owning the ability to learn and act.
Explore the example →Insourcing changes who owns the service, not just who produces the output.
Explore the example →A lower cost of creation can leave you with more services to maintain.
Explore the example →Attendance is an event. Internal capability is something the organisation can use again.
Explore the example →The fastest task does not determine the speed of the whole service.
Explore the example →People can decide to insource a service before they understand what it was doing for them.
Explore the example →Ownership and independence are different properties of a service.
Explore the example →A supplier’s value can include the capability that remains after they leave.
Explore the example →A customer’s consideration process can happen before your measurement of the journey begins.
Explore the example →The risky part of a bid may be the part that looks most finished.
Explore the example →A difference that customers value still needs to survive the way options are represented and compared.
Explore the example →An earnings stream can look like loyalty when part of it depends on the effort required to leave or challenge.
Explore the example →Your cost model may hold revenue constant just as the buyer starts to change it.
Explore the example →Permission to read a document does not tell an assistant whether the document should be believed.
Explore the example →The expertise that makes AI useful can be invisible in the productivity calculation.
Explore the example →People may be protecting themselves from your measures, rather than resisting your technology.
Explore the example →Your response time has become part of the way risk is created in the business.
Explore the example →Repeating an answer can increase confidence without adding independent evidence.
Explore the example →AI can make an established view more articulate before it makes the decision better.
Explore the example →A problem in the funnel can originate in the product, service or proof behind it.
Explore the example →Growth can require changing what you sell before asking people to sell more.
Explore the example →The boundary of your product is not necessarily the boundary of the customer’s problem.
Explore the example →Resolution can end the incident while leaving the opportunity unexplored.
Explore the example →The precision of a forecast can exceed the knowledge behind it.
Explore the example →Technical expertise can help reframe the problem before it becomes a specification.
Explore the example →A team can exist on paper without having any usable capacity.
Explore the example →The growth constraint may be the experience of getting the value, rather than the value promised.
Explore the example →The timing of expertise changes the choices it can create.
Explore the example →Risk expertise can improve the quality of learning, not just the approval decision.
Explore the example →Strategy can be clear at the top and fragmented where the customer experiences it.
Explore the example →Use AI to widen the question
Bring one live decision. Explore a competing explanation, identify what would change your mind and speak to someone who sees the situation differently.
Explore leadership and unlearning →Bring it into the work
The examples can help you choose a live issue for PERSONAL, a question for FUNCTION or a shared decision for STRATEGIC.
Explore the existing sessions →