Project Quality Management and QA Processes for Better Project Delivery
Quick answer
Quality management shows how your work will go through all the stages without any major deviations. This means that your project will be delivered on time and within budget. But this isn’t always easy to achieve.
Quality assurance, or QA, is something that is done continuously over time. When you leave it until the end of the initiative, the costs may be huge. Therefore, control should involve not only preventive strategies but also strict evaluation throughout the entire process.
See in detail how to:
- Define standards
- Build QA workflows
- Review deliverables regularly
- Improve processes continuously.
What project quality management means
This is a process whose main goal is to make sure that the work meets all the needs stated at the very beginning.
It’s no longer a vast array of expectations. The results can be measured according to specific standards to make sure the deliverables meet all the requirements.
QA vs quality control (QC)
| Aspect | QA | QC |
| Focus | Processes improvement | Final deliverables |
| Approach | Preventive | Reactive |
| Goal | Prevent mistakes | Identify and fix them |
| Timing | Throughout the whole lifecycle | Before delivery |
| Examples | Team training, process audits, SOP (Standard Operating Procedure) documentation | Bug testing, inspections, security scans |
What these processes are targeting
According to the Project Management Body of Knowledge (PMBOK):
#1. Plan quality management (standards)
This is the first process to be implemented, and it will serve to identify both the requirements and the standards for the engagement and deliverables.
At this point, you should define the metrics by which you evaluate the work.
#2. Manage quality (confidence)
This process is seen as a synonym of the QA because its main goal is to execute the review process.
This makes sure that the stakeholder confidence remains high that they will get the product to fit their needs.
#3. Control quality (correctness)
This process aims to monitor and record the results of the control activities. Thus you make sure that the outputs are correct, complete, and meet the customer expectations. You can see this process as the last step to prevent any mistakes to be shown.
Core elements of a project quality management approach
1. Standards
They are defined to help determine the requirements of the engagement. Without standards, you don’t have anything to compare your work with.
2. Reviews
These are proactive and structured evaluations of deliverables and processes. This is continuous monitoring, meaning that you won’t wait until the end stages to review it. You’ll do it at specific milestones to ensure that you catch any inefficiencies earlier.
The main goal is to make sure that the team follows the processes and any flaws are caught before the completion.
To make your progress monitoring even stronger and your organization well-defined, Flowlu lets you create customized projects. Add tasks with subtasks, milestones, and checklists, and convert them into templates so you don't have to recreate the same steps repeatedly. It supports both rigorous processes and regular check-ins.
3. Project quality control procedures
These are tactical tests. Managers use it to make sure that the final deliverables meet the standards that are established before the work begins.
The main goal of project quality control procedures is to identify and fix defects before the product is delivered to the end-user.
Project quality management models and frameworks
To have all these elements working together, many companies tend to use established delivery control frameworks:
TQM (total quality management)
It’s a management approach where everyone within an organization is responsible for the outcomes and continuous improvement to deliver long-term customer satisfaction.
Six sigma (DMAIC)
Originating in the 1980s, this framework remains relevant in PM. It's focused on both eliminating errors and minimizing process variations.
For standard initiatives, teams use the DMAIC to:
- Define the problem and customer requirements
- Measure current process performance
- Analyze the main causes of defects
- Improve the process by eliminating those main causes
- Control the improved process to prevent future slippage.
Lean (eliminating waste)
It’s especially based on minimizing waste so that the customer value can be maximized. Waste refers to idle waiting time, errors, redundant approvals, and unnecessary meetings.
How teams monitor project health and quality
One of the things that many beginner specialists don’t know is that a work may be ahead of schedule and on budget, but if it doesn’t meet the end-user needs, the engagement fails.
This is why the project quality assurance manager should use specific, actionable metrics and work continuously on them.
Health & quality metrics that actually matter
#1. Defect rate
This refers to the number of bugs or errors that are identified in a deliverable per asset size or during a specific timeframe.
A spike in this rate may mean that the execution team needs to be careful since they are probably cutting corners and rushing.
#2. Rework frequency
This refers to the percentage of deliverables that need to be sent back for corrections.
When this rate is high, it means that the initiative costs will increase as well as predictability is destroyed. In addition, it is normal that the team morale lowers. This is a clear indication that the employees didn’t understand requirements and standards.
#3. Missed requirements
These are the specifications that, although written, were forgotten, omitted, or built incorrectly.
When this number is high, it means that there is a clear breakdown in scope management. It also shows there is a huge difference between what the end-user asked and what was delivered by the team.
#4. Delivery consistency
This is how the team can deliver the output over time.
Many fluctuations may indicate that there may be an erratic resource allocation, burnout, or even a shift in priorities.
#5. Issue resolution time
The average time the team takes to detect the defect, fix it, and close off the issue.
In case the team takes too long, it may mean that the employees have hit bottlenecks, delaying other tasks that depend on this one.
#6. Stakeholder feedback scores
This information is gathered from executives, users, and clients during product demonstrations and milestone check-ins.
Even if you don’t have any technical errors, if the product doesn’t meet the stakeholder expectations, its delivery is assumed to be low.
#7. Review completion rate
This metric shows the percentage of automated code inspections, design audits, and scheduled peer reviews that were conducted before the delivery went to the next stage.
When the timeline is short, many teams tend to skip check-ins. But using this metric, you're ensuring it doesn't happen.
How project leads and QA managers collaborate
In the old days, project managers (PM) and QA specialists used to work separately. This is no longer the case. In fact, they act as a unified leadership unit nowadays.
The division of responsibilities
Since they look at workflow differently, each one covers a part.
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PMs |
QAs |
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Practical synergy in daily operations
- Scope Definition: QA helps write the requirements → PM ensures they are measurable.
- Risk Assessment: QA uses test results as a warning signal that something isn't working well → PM adjusts the expectations of the stakeholder.
Step-by-step implementation
Step #1: Define standards
Before the initiative even begins, it is necessary to define clear and measurable acceptance criteria for success that will serve as standards. You need to do this for each task defined.
Step #2: Build checkpoints
Create a map that shows your workflow lifecycle and determine where you’ll have checkpoints for review interventions to ensure that everything is following the standards.
Step #3: Execute & audit
When execution is in play, you want the QA to audit the team to see how they are working. Ensure that the team isn’t ignoring styling guides, missing regular syncs, or skipping instructions.
Step #4: Verify deliverables
As soon as an instruction is built, it isn’t ready to be delivered. Test it for bugs or any other misalignments with the standards.
Prepare QC procedures, such as editor proofreading cycles or automated scripts.
Step #5: Retrospective loop
Whenever a phase ends, take a closer look at your standards data. Explore operations for revision frequencies to find out why they happened and then update your QA management plan.
5 Common quality management mistakes to avoid
#1. Not doing regular checks
Never wait until the end to check a product. If a problem was identified in the first week, and nothing was done until the product was built in the third month, this may mean that you’ll need to tear down the entire initiative to fix it. It can cost heavily in terms of time and budget.
#2. Unclear ownership of quality
There should only be one person responsible for the outcomes of a task. And this person can’t pass the responsibility to others. So, always assign explicit standards ownership at every stage of the workflow.
#3. Having no documented standards
You can’t rely on individual expertise or personal taste to know if something has the necessary requirements. Define standards right at the beginning to prevent inconsistencies.
#4. Measuring activity instead of outcomes
Choose the metrics you’ll use right from the start. Don’t select parameters just for show. You need real data to help you assess performance and delivery control.
Use metrics such as rework frequency, for example, not the number of hours spent.
#5. Ignoring recurring defects
You can’t keep on ignoring a recurring defect without even asking why it occurs. Take the time to determine the root cause.
When formal quality management helps most
No industry should neglect planning and control. While some sectors can afford less detailed oversight, others must pay maximum attention to it.
Teams and projects that need stronger QA processes
1. Very risky or safety-critical environments
These deliverables need to follow exact specifications and are tested under extreme conditions.
2. High-complexity systems with close interdependencies
They require a more formal approach since a small process variation in a department may create a domino effect when all pieces are brought together.
3. Highly regulated industries
These sectors need to be compliant with laws and regulations.
4. Big, regionally distributed, or outsourced teams
Whenever an engagement requires vendors spread in different time zones, external agents, or simply a huge number of developers, ensure that you have more formal QA instructions.
When lightweight QC is enough
1. Projects with a low cost of failure
If a defect can be fixed in 5 minutes, even if it goes through to production, without any other damage, you don’t need any formal solution.
Examples:
Social media graphics, internal newsletters, basic promotional landing pages, or internal team dashboards.
2. Exploratory or prototyping phases
When you just want to test a hypothesis or your goal is to enter the market fast, this is the way to go. Your main goal isn’t perfection.
Examples:
Hackathons or early-stage startup feature concepts.
3. Highly standardized, repetitive, small-scale work
All you need to do is to add standards to a checklist to be reviewed before it moves to production.
Examples:
Simple graphic design production, basic template-driven email marketing, or weekly blog post publishing.
Produce solid results
Delivering a project on time and on budget is not a matter of luck. It’s a matter of predicting that everything will turn out fine by using a continuous monitoring process. However, not all engagements need a formal approach; some are better off using a simpler monitoring process.
Nevertheless, quality assurance and control are very important parts of any project and need to be taken seriously by the manager.
Use the right tools to help streamline these processes. Flowlu, for example, lets you create customized workflows that are easy to monitor with real-time data and multiple task views. With its flexible settings, you can make adjustments at any stage of the project lifecycle. So you don't encounter unexpected misalignment. You'll get strong results that your clients love.
It’s the process of delivering deliverables to end-users, ensuring that their expectations and requirements are met.
While the first is a preventive, process-oriented, the second is product-oriented and is more focused on identifying mistakes after they occur.
They target 3 main things: standards definition, process confidence, and technical correctness.
There are 7 main metrics that you should use: defect rate, revision frequency, missed requirements, delivery consistency, issue resolution time, stakeholder feedback, and review completion rate.
He has many roles. From being the one responsible for defining the standards, he also defines the tests that are needed, keeps defect metrics under his view, and collaborates to manage risks.
