Map the actual path
Walk through recent cases with employees, managers, HR and delivery teams. Mark each decision, queue, hand-off, rework and point where ownership becomes unclear.
Evidence: case chronology + interviewsMethod / worked example
When a problem keeps returning, the answer is rarely another reminder to try harder. Systems thinking looks at the hand-offs, incentives, delays and feedback that produce the result people actually experience.
01 / The approach
A system is the combination of people, decisions, policies, tools and constraints around an outcome. Its behaviour comes from how those parts interact. A sensible step in one team can create a long wait somewhere else.
I would agree the question and boundary with the customer, follow real work across teams, distinguish observed facts from assumptions, and make the loops visible. The point is to choose a small number of changes that can be tested and owned.
02 / Illustrative customer scenario
A hypothetical employer has a clear policy and prompt approvals, yet employees say agreed workplace adjustments take weeks to arrive. The example below is a proposed engagement, not a claim about a real customer or measured result.
Unclear hand-off → longer wait → chasing and duplicate requests → more coordination work → longer wait.
A hypothesis to test with evidence, not a diagnosis made in advance.03 / Analysis
The investigation follows a small, representative set of cases end to end. It combines the record of what happened with the experience of the people doing and receiving the work.
Walk through recent cases with employees, managers, HR and delivery teams. Mark each decision, queue, hand-off, rework and point where ownership becomes unclear.
Evidence: case chronology + interviewsCompare time to decision with time to implementation and confirmation. Look at variation by adjustment type and route, while protecting individual privacy.
Evidence: timestamps + exceptionsCheck whether chasing, duplicated requests or local workarounds add load. Ask which measures reward a quick approval while leaving delivery invisible.
Evidence: system map + tested hypothesesApproval has an owner and a service measure. Implementation crosses three teams, with no single person accountable for confirming that support works. The redesign would address that gap before proposing new training or software.
04 / Proposed workflow
Illustrative sequence for scoping a customer engagement. Timing, access and priorities would be agreed after an initial conversation.
Agree the outcome, boundaries, sponsor and what a better experience would look like. Select a manageable sample of cases.
Follow the cases across teams and draw the journey, delays, decision rights and feedback loops with the people who work in it.
Quantify the gaps the available data supports. Test explanations, then design clearer ownership, a delivery check and a review point.
Trial the revised workflow for a defined adjustment route or team. Capture exceptions and feedback without waiting for a perfect organisation-wide rollout.
Review what changed for employees and staff, what still fails, the cost of operating the new route and the decisions needed to extend it.
05 / Customer outputs
A useful engagement leaves a clearer operating system and a decision the leadership team can make, not merely a diagram to admire.
A shared picture of the journey, owners, dependencies, queues and feedback loops, with assumptions marked separately from observed facts.
Approval-to-delivery time, confirmation rate, rework and employee feedback, with data gaps and variation made visible.
Named ownership, hand-off rules, escalation, confirmation and review points; a lightweight service blueprint for teams to operate.
A small test, learning log, measures, trade-offs and a recommendation on what to adopt, amend or stop.
A better scorecard
Targets follow a baseline and an agreed scope. A green approval dashboard alone is not evidence that the barrier was removed.