Insights
Practical guidance on capital projects, governance, financing, and delivery for Indigenous and public-sector leaders.
Accessibility — ensuring products work for people with disabilities — is consistently treated as an afterthought in most Scrum teams. It shows up as a final audit before launch, triggered by a legal requirement or a stakeholder complaint. The consequence is a backlog of expensive retrofits that could have been avoided entirely if accessibility had been in the Definition of Done from the beginning.
Read more →Quality in projects has two distinct dimensions: quality of the product — does it do what it is supposed to do — and quality of the process — were the right steps followed correctly. Most project teams focus almost entirely on the first and neglect the second. The result is a pattern of late-stage quality failures that could have been prevented at a fraction of the cost had quality been built into the process from the start.
Read more →The range of warehouse automation available today is vast — from basic conveyor systems and pick-to-light technology to autonomous mobile robots, goods-to-person systems, and AI-driven slotting. Capital is finite and automation projects frequently underperform expectations. The question is not whether to automate but where automation creates genuine value and where it creates expensive complexity without proportionate return.
Read more →Non-profit organisations face relentless pressure to reduce overhead and demonstrate impact. Lean Six Sigma — built around eliminating waste and reducing variation — applies directly to the high-volume service processes, grant compliance requirements, and fundraising operations that define non-profit work. The methodology is not just for manufacturing. It is for any organisation that does the same kind of work repeatedly and needs to do it better with the resources it has.
Read more →Data engineering teams build and maintain the pipelines, data warehouses, and analytical infrastructure that the rest of the organisation depends on. Scrum works well for data engineering — but applying it without adaptation leads to mismatches between the Scrum framework and the realities of data work. Understanding how to adapt Scrum for data engineering is the difference between a framework that helps the team and one that generates process overhead without improving outcomes.
Read more →Inflation changes the economics of project delivery in ways that standard contingency planning does not address. When material costs rise 15 per cent during a project's execution phase, when labour rates are renegotiated mid-contract, and when the price assumptions embedded in the original estimate are no longer valid, the project manager needs a different toolkit — not just a larger contingency reserve. Managing projects through an inflationary period is a discipline worth understanding in its own right.
Read more →Everything downstream in a supply chain — procurement, production, inventory, logistics — is planned from the demand forecast. When the forecast is wrong, the costs cascade: excess inventory, production changeovers, emergency freight, stockouts, and lost sales. Getting demand planning right is therefore not a technical nicety; it is a strategic supply chain capability. Understanding what best-practice demand planning looks like is the first step in building it.
Read more →Most quality programmes try to inspect or improve defects out of products and processes that already exist. Design for Six Sigma takes the opposite approach: it applies rigorous statistical methods at the design stage, before a product or process is built, so that quality is engineered in from the first day rather than chased out after the fact. The economics are compelling — finding a flaw at the design stage costs a fraction of finding it in production or, worse, in the hands of a customer.
Read more →Regulated industries — financial services, healthcare, pharmaceuticals, medical devices, aviation — impose documentation, validation, and audit requirements that seem incompatible with agile. They are not. What regulated industries require and what traditional teams assumed they required are often very different things. Scrum teams can deliver compliant products without abandoning the practices that make them effective.
Read more →AI is beginning to affect how projects are planned and managed: schedule risk prediction, automated status reporting, resource forecasting, risk identification from documentation. But the need for human judgment in stakeholder relationships, sponsor management, and accountability has not changed. What matters for project managers is knowing which capabilities are real, which jobs are changing, and how to stay relevant.
Read more →Supplier diversity is the proactive inclusion of businesses owned by underrepresented groups in an organisation's supply base. The business case is real and growing: a wider competitive pool, innovation from diverse perspectives, community economic development, and increasing requirements on public contracts. Building a programme requires more than good intentions — it takes defined targets, clear eligibility criteria, and systematic spend tracking.
Read more →Lean Six Sigma is widely seen as a large-company discipline — something for manufacturing plants and enterprise service operations. But startups face process problems too: inconsistent customer onboarding, support queue backlogs, unreliable deployments. The question is not whether LSS applies to early-stage companies, but which parts of it actually help at that scale.
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