Why quality management is the partnership that martech cannot ignore | MarTech

Why quality management is the partnership that martech cannot ignore | MarTech

While martech professionals straddle the line between marketing and IT, they do work that touches both worlds. Quality management – ​​including quality assurance (QA) and user acceptance testing (UAT) – is one of those disciplines where practitioners provide significant value, regardless of where they are in the organizational chart.

Martech is a team sport that depends on close collaboration with experts in many areas, including quality management. Teams succeed much more easily when everyone brings his or her unique skills to the table than when individuals or work groups try to operate alone.

The shared role of martech and quality management

Quality management professionals work to identify and correct errors and glitches before they reach customers – a safeguard that protects brand reputation, revenue, customer experience, information security and regulatory compliance. They play a critical role in evaluating development work and ensuring projects meet business expectations.

They also help teams avoid the anxiety that arises when something breaks in a customer-facing context, especially when resources are already scarce. Almost everyone has seen a senior executive spot a bug or typo at the worst possible time. Quality management professionals protect the organization. Martech practitioners overlook these at their peril.

Martech professionals are well equipped to translate business requirements into testable criteria and interpret technical details for business stakeholders. They must work closely with both sides of that divide to keep teams aligned and focused on shared goals.

This is an important area where martech practitioners can add significant value. Business stakeholders are driven by objectives that require constant attention, and IT teams are responsible for delivering and maintaining complex systems. Both groups are stretched thin. By supporting quality management efforts, martech professionals can ease the burden on both sides and make projects run more smoothly.

Dig deeper: Poor data quality is hindering companies and their AI plans

How QA and UAT differ – and why both matter

QA and UAT are closely related but different. QA focuses on the technical function of a platform or system: configuration details, browser cookies, data flows, and other elements that end users never see. At UAT, the customer experience is central. The question is simple: can users achieve what they need without error or friction? Unlike QA, UAT does not assume technical knowledge, which is a core difference.

Martech practitioners should take an active role in designing UAT programs. Because they work with different teams and stakeholders throughout a project, they bring a broad perspective that is invaluable during testing.

Test cases

A quality management agency (QMO) should involve martech professionals in developing QA and UAT test cases. Test cases outline the specific scenarios that testers run through and should represent the wide range of experiences and paths a user can take.

Martech professionals participate in both technical and business discussions, gaining a clear understanding of how business requirements relate to system behavior. That insight is essential when designing QA and UAT test cases.

It’s impossible to anticipate every scenario a system or user might encounter, but teams can create test cases that cover the vast majority of likely situations. That’s why close collaboration with QMO is crucial: quality professionals are equipped to build a comprehensive testing approach.

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Regression testing

Regression testing is another important element of quality management. When new features or changes are introduced, teams should confirm that existing functionality still works as expected. Regression testing checks everything except the newly updated components.

QMO should collaborate with martech professionals in developing regression test cases. After each change, these test cases should be updated for future work. This helps teams spot when new releases are unintentionally breaking existing features and increases the likelihood that issues will be resolved before they reach customers.

A strong regression process also gives martech professionals the freedom to focus on what is changing now, rather than constantly worrying about what should remain stable – an increasingly difficult task as systems become more complex.

Selecting quality management tools

When QMO evaluates tools to support QA and UAT, they need precise requirements that reflect how users behave. That includes selecting tools that accurately simulate end-user scenarios.

Martech specialists should be involved in this process because the tools chosen directly impact their workflows. For example, testing SMS and MMS messages may depend on whether a platform uses short codes. Martech professionals can flag requirements, such as support for two-way messaging, to ensure the test environment accurately reflects real-world conditions.

Think strategically

Quality management is ongoing. QA and UAT must continue even when there are no major releases on the horizon because martech systems are constantly evolving. Hosting providers update operating systems, libraries, and other components that affect platform behavior – and those changes can surface unexpectedly.

It’s also important to document what teams learn after each QA and UAT cycle. Clear instructions for testers, notes on test data needs, and insights from past challenges make future rounds more efficient. A small investment in documentation now saves a lot of time when resources are tight.

Martech professionals must treat their quality management colleagues as essential partners. Through QA, UAT, regression testing, and other quality activities, martech teams gain greater confidence that systems will function properly and meet business goals.

Both parties depend on each other’s expertise and the joint effort pays off. Strong partnerships increase the chance that projects – and the people behind them – will shine.

Dig deeper: A practical framework for turning fragmented data into a foundation for AI success

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Contributing authors are invited to create content for MarTech and are chosen for their expertise and contribution to the martech community. Our contributors work under the supervision of the editors and contributions are checked for quality and relevance to our readers. MarTech is owned by Semrush. The contributor was not asked to make any direct or indirect mentions of it Semrush. The opinions they express are their own.

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