Mindcast 10: Quality Management in Projects | Bilal Jamil PM Labs

Quality Management in Projects: Planning for It, Building It In, and Making It Stick

Experience the four stages of quality management through an interactive railway handover crisis, and discover how to build quality into your projects from day one.

šŸŽÆ Quality Management

There are 4 stages to quality management: Planning, Assurance, Control, and Continuous Improvement. In this mindcast, I'll share a real railway handover crisis that taught me these lessons the hard way, and show you the practical tools that work in reality.

šŸŽÆ What you'll discover:

  • Real quality challenges through the railway handover crisis story
  • The 4 stages of quality: Planning, Assurance, Control, and Improvement
  • Why quality is both technical and human: specifications meet trust and communication
  • Practical quality tools and when to use each one
  • Your quality maturity and personalised recommendations

How this works:

  1. Navigate using tabs - Click any tab at the top to jump between sections
  2. Interactive elements - Click buttons, answer questions, and make choices that affect outcomes
  3. Learn at your pace - No time limits, revisit any section whenever you want
  4. Phone simulator - Make real quality decisions and see metrics change in real time
  5. Practice scenarios - Test quality tools and get instant feedback on your choices
  6. Save your progress - Your action plan saves locally, accessible anytime

šŸ“± Works on: Desktop, tablet, mobile

šŸ’¾ Works offline: Once loaded, use it anywhere

šŸ’” Flexible: Jump to any section that interests you

Ready? Let's begin with the railway handover crisis that taught me why quality isn't something you bolt on at the end.

šŸ“š What is Quality Management?

Quality management is about ensuring a project's deliverables meet the required standards and stakeholder expectations. According to APM, it's the discipline of defining quality criteria, planning how to achieve them, and systematically checking that work meets those standards.

But here's what makes quality management actually work in practice: it's not just technical compliance. It's about building trust with the people who'll use what you deliver. It's about clear communication, early involvement of end users, and creating a shared understanding of what "done" really means.

Why Quality Management Matters

Poor quality has real costs. Industry studies show that rework due to poor quality averages about 5% of project cost (Get It Right Initiative). On a £10 million project, that's half a million pounds potentially wasted. Beyond the financial impact, poor quality damages stakeholder trust, creates technical debt, and demoralises teams who have to constantly fix preventable problems.

Quality management shifts the focus from fixing problems to preventing them. It's the difference between discovering a foundation issue after the building is up versus catching it in the design review. It's involving the maintenance team at the planning stage rather than surprising them at handover.

The Four Stages of Quality Management

The Four Stages of Quality Management - A circular diagram showing: 1. Quality Planning (Define standards and how to achieve them), 2. Quality Assurance (Build processes that prevent defects), 3. Quality Control (Check deliverables meet standards), 4. Continuous Improvement (Learn and refine for next time)

The four interconnected stages form a continuous cycle of improvement

These four stages work together as a cycle. You plan the standards, build quality into your processes, check the outputs, and learn for next time. Each stage feeds into the others, creating a continuous loop of improvement.

In the next tab, you'll experience these concepts through the railway handover crisis - where poor quality management turned successful track delivery into a years-long nightmare.

When Reality Kicks In

In practice, you won't always see every stage of quality management play out neatly. Large engineering projects can last several years, with handovers between teams and suppliers along the way. Often, you inherit a quality system already in place, or you help design one for others to follow.

In these environments, project quality management works alongside organisational or industry quality systems. As a PM, you may not own the entire cycle, but you still play a vital role: developing the approach where it's missing, executing it where it's established, and driving continuous improvement wherever you can.

When you're working on railways or other infrastructure where people's safety depends on getting it right, there's no room for error. But here's the thing: whether you're building a railway, developing software, or managing an office refurbishment, the same quality principles apply. Plan what good looks like, build quality in as you go, test before you finish, and learn from what went wrong. The context changes, but the approach doesn't.

šŸš‚ The Railway Handover Crisis

Railway track works were being delivered successfully. Tracks laid, trains running, all technical milestones hit. But handovers were taking months, sometimes years, to complete. The technical delivery was working. The handover process wasn't.

Looking closer, I realised the maintenance teams who'd be looking after these tracks for the next 20+ years were only brought in a few weeks before the actual works. No earlier touchpoints. No input on design decisions. No say in what would make their lives easier. What could have been early conversations became last-minute negotiations.

We started involving the end user at the planning stage. We built relationships and key checkpoints throughout the project, started developing rapport with them, and worked towards the same definition of "done." Quality wasn't just about meeting our specifications. It was about delivering something they could actually trust and maintain.

The result? Smoother handovers and significantly less rework. The shift from "just get the track open" to "deliver a package the end user can actually trust" didn't happen overnight. But it did happen. That's when I understood what quality management really means.

Experience the Decision Points

You're the PM on a railway upgrade project. Step into three key moments where quality management makes the difference. Your choices will affect delivery progress, stakeholder trust, quality standards, and team morale.

šŸŽÆ 0% Delivery
šŸ¤ 50% Trust
9:30
āœ… 50% Quality
šŸ’Ŗ 50% Morale
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by Bilal Jamil

šŸ“‹ Quality Planning: Figuring Out What "Good" Looks Like

Main outcome: Define what "good" looks like upfront, agree acceptance criteria, and make sure everyone understands success before you start.

The Everyday Example

Think about buying new furniture. You need a wardrobe that'll last several years, fit your room, hold what you need, and not break the bank. You work out your requirements: dimensions, budget, storage capacity, style. After comparing options, you decide IKEA best fits your specific needs. Maybe it's the modular design, the price point, or the warranty.

That's planning and defining your requirements upfront and knowing what "good" looks like for your situation before you start.

How This Applied to Our Track Works

The same principle applies. We'd been laying tracks without properly involving the people who'd actually live with them. Here's what we discovered: the maintenance teams who'd be looking after these tracks for the next 20+ years were only brought in a few weeks before the actual works. No earlier touchpoints, no input on design decisions, no say in what would make their lives easier.

This was the root cause of our handover problems.

The solution seems obvious now, but it took us months to figure out. We started involving the end user at the planning stage. We built relationships and key checkpoints throughout the project, started developing rapport with them, and worked towards the same definition of "done."

The result? Smoother handovers and significantly less rework.

What Quality Planning Actually Looks Like

Here are the key tools you'll work with:

šŸ“„ Quality Plans and Acceptance Criteria

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What it is: Documents that spell out exactly what "good" looks like and how you'll achieve it.

Why it exists: Prevents the "I thought you meant..." problem where different people have different expectations of success.

How it helps Quality Planning: Creates a shared north star before work starts. Everyone agrees upfront what done means, what standards apply, and who signs off.

āœ“ Pre-Handover Checklists

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What it is: An agreed list of what must be complete before you hand over the finished work.

Why it exists: Stops last-minute surprises and lengthy negotiations at the point you want to close the project.

How it helps Quality Planning: When you create this WITH the end user at the start, you're building a shared definition of "ready to accept."

šŸŽÆ Clear Definitions of "Done"

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What it is: Specific, measurable conditions that must be met for work to be considered finished.

Why it exists: "Done" means different things to different people. Without clarity, you deliver what YOU think is done, not what THEY need.

How it helps Quality Planning: Turns vague expectations ("good quality") into specific yes/no checks that both delivery teams and end users can verify.

āš–ļø Regulatory and Safety Requirements

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What it is: Non-negotiable legal, safety, or compliance standards your work must meet.

Why it exists: You can't retrofit safety or compliance. These requirements shape everything about how you deliver.

How it helps Quality Planning: Capturing these upfront means you design them INTO your approach, not discover them during testing.

The Key Lesson

Quality planning isn't bureaucracy. It's the conversation that saves you months of rework later. Define "good" with the people who'll inherit your work, and you'll deliver something they actually want to accept.

šŸ”§ Quality Assurance: Building Quality Into the Process

Main outcome: Build quality into the way you deliver, so problems don't stack up at the end.

Back to That Wardrobe

When you assemble it, you follow the instructions step by step. You check the right screws are going in the right holes. You make sure everything lines up before tightening it.

That's assurance (building quality into the process so the final product actually stands up).

How This Applied to Our Track Works

We introduced assurance checks before and during delivery. We'd verify materials were ready, check track components met specifications, and ensure everything was in place before installation began. Instead of waiting until the end to discover problems, we were catching issues early.

And here's the crucial bit: if we noticed something that could impact the end user, we'd discuss it transparently and work together on a solution. This not only reduced defects but also built trust with the end user, who could see quality being built in at every stage.

In hindsight, this was one of those transferable lessons. Quality isn't something you bolt on at the end. You build it in as you go.

What Quality Assurance Looks Like

Here's what you'll typically see:

šŸ” Independent Audits and Peer Reviews

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What it is: Someone outside your team checks your work with fresh eyes.

Why it exists: You become blind to your own assumptions and shortcuts. Fresh eyes catch what you've stopped seeing.

How it helps Quality Assurance: Catches process issues DURING delivery when they're cheap to fix, not after handover when they're expensive.

šŸ› ļø Mid-Project Inspections and Checks

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What it is: Regular checkpoints where you verify work meets standards before moving to the next stage.

Why it exists: Waiting until the end to check quality means you've already built problems into the work.

How it helps Quality Assurance: Find and fix issues early when rework is simple. Prevents compounding problems that get worse with each layer.

šŸ“‹ Test Scripts Followed at Each Stage

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What it is: Standardized procedures that ensure everyone checks the same things the same way.

Why it exists: When people improvise testing, quality becomes inconsistent and dependent on who's doing the work.

How it helps Quality Assurance: Removes variability. Every team member follows the same process, creating predictable, reliable quality.

šŸ“š Training and Feedback Loops

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What it is: Making sure everyone understands quality standards and learns from issues as they arise.

Why it exists: Even the best processes fail if people don't understand WHY quality matters or HOW to deliver it.

How it helps Quality Assurance: Builds capability across the team so quality becomes everyone's responsibility, not just the PM's.

The Psychology Factor

Trust is built through behaviour, not documents. If teams cut corners in one phase, stakeholders assume corners have been cut elsewhere. Small slips damage perception disproportionately.

Being consistent in the little things matters as much as passing the big tests. Quality assurance is as much about managing perceptions as meeting specifications.

āœ… Quality Control: Making Sure It Actually Works

Main outcome: Test and verify that the finished output meets the requirements before handover.

Your Wardrobe Is Built

Now you open the doors, check the drawers slide smoothly, make sure it doesn't wobble.

That's control (confirming it's fit for purpose before it's put to use).

How This Applied to Our Track Works

We learned the value of transparency. We got the end user involved to witness tests and see the results first-hand. Once the work was done, we agreed any snags together and followed up to action them quickly. We made sure all the paperwork was spot on before handover.

This collaborative approach gave them the confidence to sign off without the lengthy negotiations that used to drag on for months.

It seems obvious in hindsight, but people don't trust what they weren't part of. Exclude them from testing and they'll find problems later, guaranteed.

What Quality Control Looks Like

These are the typical deliverables:

šŸ“ Inspection and Test Plans (ITPs)

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What it is: A detailed document that specifies exactly what will be tested, how it will be tested, who needs to witness it, and what passing looks like.

Why it exists: Without a plan, testing becomes random. You might miss critical checks or waste time on things that don't matter.

How it helps Quality Control: Turns "check everything" into a systematic process where nothing gets missed and everyone knows what success means before testing starts.

šŸ­ Factory and Site Acceptance Tests (FAT/SAT)

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What it is: Two-stage testing where equipment is first verified in controlled factory conditions (FAT), then again in the real-world environment where it will actually operate (SAT).

Why it exists: Equipment that works perfectly in a lab can fail when exposed to real conditions like temperature swings, vibration, or electromagnetic interference.

How it helps Quality Control: Catches problems in two stages: first when they're cheap to fix (factory), second when you still have time to address them (site) before handover.

āš ļø Non-Conformance Reports (NCRs)

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What it is: Formal documentation of anything that fails to meet specifications, triggering investigation, corrective action, and verification that the fix actually worked.

Why it exists: Problems ignored or informally "fixed" have a nasty habit of reappearing. NCRs force systematic resolution with evidence.

How it helps Quality Control: Creates an audit trail showing what went wrong, why it went wrong, how it was fixed, and proof it won't happen again.

šŸ“‹ Final Sign-Off Checklists

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What it is: A comprehensive list of everything that must be complete before you can ask for formal acceptance and handover.

Why it exists: Without a checklist, important items get forgotten in the rush to finish. Missing one item can delay handover by weeks.

How it helps Quality Control: Provides a gate that forces you to verify ALL requirements are met, not just the obvious ones, before declaring "we're done."

The Psychology of Sign-Off

Quality is as much about perception as compliance. Here's what matters:

Loss aversion is real. People fear losses more than they value gains. One quality failure weighs heavier than five successful deliveries. Past failures raise the bar for your current project.

Ownership signals confidence. When someone stands up and says, "I personally confirm this is ready," it changes the room. People respond to confidence and accountability more than spreadsheets alone.

How you frame things matters. Saying "95% compliance" feels different from saying "5% failures," even though they're the same number. Present results in a way that aligns with stakeholder concerns.

šŸ“ˆ Continuous Improvement: Learning As We Go

Main outcome: Learn from each project and embed improvements for next time.

Think About That First Wardrobe Build

It takes hours. Screws in the wrong places, plenty of frustration. By the second or third, you've figured it out. You lay everything out, organise the parts, maybe use an electric screwdriver. Each time, you get faster and better.

That's continuous improvement (learning from experience and applying it to the next challenge).

How This Applied to Our Track Works

Every site taught us lessons we couldn't ignore. We started slowly making changes to the way things were done: standardising templates, clearing snags as we went rather than leaving them until the end, building relationships earlier. Each small improvement helped shift the perspective and gradually influenced the culture.

It seems easy on the surface, but culture change takes time. It wasn't perfect. After a few bumps we developed a rhythm and continued to be open to learning, trying to do the right thing better each time.

The shift from "just get the track open" to "deliver a package the end user can actually trust" didn't happen overnight. But it did happen.

What Continuous Improvement Looks Like

Here are the common approaches:

šŸ“– Lessons Learned Reviews

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What it is: Structured reflection sessions held after key milestones or project completion to capture what worked, what didn't, and what to do differently.

Why it exists: Without deliberate reflection, teams repeat the same mistakes on every project because knowledge stays trapped in people's heads.

How it helps Continuous Improvement: Converts experience into transferable knowledge that the next team can actually use, breaking the cycle of reinventing the wheel.

šŸ“„ Updating Templates and Checklists

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What it is: Taking lessons learned and baking them directly into your standard templates, forms, and checklists so improvements become automatic.

Why it exists: Lessons written in documents get ignored. Lessons embedded in the tools people actually use get applied every single time.

How it helps Continuous Improvement: Turns individual learning into organizational memory - new team members inherit wisdom without repeating old mistakes.

šŸ”„ Introducing New Practices

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What it is: Testing new approaches on a small scale, proving they work, then rolling them out across the wider organization.

Why it exists: Mandating changes without proof causes resistance. Piloting shows evidence that the new way is actually better.

How it helps Continuous Improvement: Enables controlled innovation - you can try new things without risking everything, then scale what works and drop what doesn't.

ā™»ļø Plan-Do-Check-Act Cycle (PDCA)

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What it is: A four-step framework for testing improvements systematically: Plan a change, Do it on small scale, Check the results, Act to standardize or adjust.

Why it exists: Random changes create chaos. PDCA provides a disciplined approach to experimenting with improvements and measuring what actually works.

How it helps Continuous Improvement: Turns gut-feel into evidence-based improvement - you test changes scientifically before committing to them organization-wide.

Quality in Agile Projects

Agile takes a different view. Quality isn't a stage, it's continuous. Acceptance criteria are built into user stories, "definition of done" sets standards upfront, and reviews happen every sprint. Instead of waiting until the end, quality is checked in small, frequent cycles.

It's not less rigorous. It just spreads the effort across the lifecycle.

And honestly? That makes more sense than trying to fix everything at the end.

The Bottom Line

Continuous improvement is the habit that changes culture. You don't have to get it perfect from day one. What matters is building the habit of asking: what did we learn here, and how do we embed it for next time?

That simple approach? It changes everything.

šŸ› ļø Quality Tools: Your Practical Toolkit

Quality management comes with established tools and practices. You don't need to use all of them, but knowing what's available helps you pick what fits your context.

From lessons learned across engineering and infrastructure projects, quality issues come from both technical and human factors. Yes, technical capability matters (getting specifications right, following standards, ensuring proper installation). But what often gets overlooked is the process and behaviour side.

The Quality Management Toolkit

  • Quality Plans: Document standards, processes, and "done" criteria before you start
  • Acceptance Criteria: Clear, measurable conditions that define success
  • Pre-Handover Checklists: Agreed upfront with end users to prevent surprises
  • Independent Audits: Fresh eyes verify you're following the plan
  • Inspection and Test Plans (ITPs): What will be tested, how, and by whom
  • Factory/Site Acceptance Tests (FAT/SAT): Verify equipment works in controlled and real conditions
  • Non-Conformance Reports (NCRs): Document and fix anything out of specification
  • Lessons Learned Reviews: Capture and implement improvements for next time

The trick: Pick tools that create clarity, maintain momentum, and prevent rework. Don't use tools for the sake of it.

Practice: Quality Tool Selection Lab

Three projects are struggling with quality issues. Select tools that fit each situation (click tools to see if they help):

Scenario 1: Unclear Requirements

Problem: New office refurbishment project. Stakeholders all have different ideas of what "finished" means. No one can agree on acceptance criteria. Risk of endless changes and disputes at handover.

Select tools that could help:

Scenario 2: Defects Found Late

Problem: Software release project. Bugs discovered in production every sprint. Testing happens too late. Team spending more time fixing old issues than building new features.

Select tools that could help:

Scenario 3: Handover Nightmare

Problem: Large infrastructure project. Handover to operations team taking months. Multiple teams, unclear ownership, documentation scattered. Operations team finding issues that should have been caught earlier.

Select tools that could help:

Common Quality Failures

From lessons learned, quality issues typically arise from:

  • End users brought in too late (classic trap we fell into)
  • Acceptance criteria vague or misaligned (everyone has different definitions of "done")
  • Checklists used mechanically, not thoughtfully (box-ticking without understanding)
  • Ownership of quality unclear (everyone's responsibility means no one's responsibility)
  • Teams dispersing before handover finalised (knowledge walks out the door)

The pattern is clear: Quality fails when technical excellence isn't supported by trust, clarity, and accountability. You need both to succeed.

šŸ’” Knowledge Check

Test your understanding of quality management. Select the best answer for each question.

Question 1:

Industry studies show that rework due to poor quality averages what percentage of project cost?

Question 2:

What was the root cause of the railway handover problems in the blog story?

Question 3:

What's the difference between Quality Assurance and Quality Control?

Question 4:

Which psychological principle explains why stakeholders scrutinise projects more heavily after one past failure?

Question 5:

How does quality management differ between waterfall and agile projects?

🌟 Your Reality

Answer these questions about your current quality management approach. Be honest. This isn't about what should be, it's about what is. Your answers will help you understand where you are and what to focus on next.

Quality Maturity Assessment

Move the sliders to reflect your current reality:

When do you involve end users? Mid-project
Only at handover Mid-project Early planning From day one
How do you build quality in? Ad-hoc checks
Fix at end Ad-hoc checks Scheduled reviews Continuous verification
How do stakeholders experience testing? Observer status
Reports after Observer status Active witnesses Co-testers
How are lessons captured? Occasional docs
Don't capture Occasional docs Regular reviews Systematic improvement
Who owns quality on your projects? PM responsibility
QA team only PM responsibility Shared unclear Whole team culture

Your Quality Maturity Level

Developing
Score: 5 / 15
Reactive
Developing
Proactive
Embedded

Key Takeaways

  • Plan for quality early and don't leave it until testing
  • Build quality into how you work, not just what you produce
  • Define "done" with the people who'll inherit the asset
  • Get the technical details right first time to avoid costly rework
  • In agile, treat every sprint as a quality checkpoint
  • Don't confuse paperwork with readiness
  • Most quality failures combine technical and communication issues
  • Continuous improvement is the habit that changes culture

Here's the Bottom Line

Quality can feel like an abstract idea when you're starting out - something buried in procedures, checklists, or systems. But the truth is, it's about making things that work properly and that people can trust.

You don't have to get it perfect from day one. What matters is building the habit of asking: what does good look like here, and how do we prove it? This means getting both the technical details right (specifications, standards, proper execution) and managing the human side (involvement, communication, ownership).

If you keep that dual focus at the heart of your projects - technical excellence supported by good process - you'll already be doing more for quality than many seasoned professionals.

We're all figuring it out together, but that simple approach? It changes everything.

Your Action Commitment

Reflect on your quality maturity and plan concrete improvements:

Question 1:

Based on your assessment, what's the biggest quality gap in your current approach?

Question 2:

What one quality practice will you introduce on your next project?