Observation & Quality Management

Make Quality a Continuous Process

Quality Intelligence is an iterative approach to software quality. This means that quality assurance does not stop when testing is complete or a solution goes into production. We monitor progress, learn from the results, and adjust our efforts as needs change. This is the purpose of Observation & Quality Management.

In a more traditional approach, quality often becomes a checkpoint before release. The solution is tested, defects are addressed, the solution is released, and attention moves elsewhere.

However, digital solutions and the environments in which they operate do not stand still. New features are introduced, risks evolve, user expectations change, and new business needs emerge. Quality assurance must therefore be an ongoing process that evolves alongside these changes.

Quality Intelligence

In a more traditional approach, quality often becomes a checkpoint before release. The solution is tested, defects are addressed, the solution is released, and attention moves elsewhere.

Quality Intelligence

From a Release Checkpoint to Continuous Quality Management

With Observation & Quality Management, we continuously monitor the actions, objectives, and metrics established in the earlier stages of Quality Intelligence.

We assess whether the initiatives are delivering the expected impact and whether quality is moving in the desired direction. This makes quality management part of ongoing operations and decision-making, rather than something that only receives attention before a release.

At its core is a simple feedback loop: We measure, respond to relevant signals, take action, and evaluate the impact. This allows us to make adjustments along the way and use data to inform decisions.

Observe, Learn, and Adapt

When an initiative delivers the intended improvement, the organization gains evidence of what works. If the expected impact does not materialize, that is also valuable insight.

Perhaps the initiative needs to be adjusted. Perhaps the assumptions behind it were incorrect. Or perhaps the situation has changed since the initiative was launched.

That is why monitoring is not just about tracking progress. It must lead to a decision: Should we continue, stop, adjust, or scale?

Continue when the initiative is moving things in the right direction but has not yet had enough time to deliver its full impact
Stop when the expected impact does not materialize or the underlying conditions have changed
Adjust when the initiative remains relevant, but its approach, scope, or level of support needs to change
Scale when the results are clear and the initiative has the potential to create value elsewhere in the organization

A Consistent Review Cadence

To ensure that observations lead to action, we establish a regular review cadence. The exact frequency depends on the size of the organization and its delivery cycle, but could look like this:

Weekly: Review deviations, Action Points, blockers, and any need for quick adjustments
Monthly: Assess trends in key quality metrics and the actual impact of improvement initiatives
Quarterly: Review what is working, adjust objectives and priorities, and decide where to focus the next improvement efforts

The most important thing is that reviews take place close enough to day-to-day activities for new signals to be translated into action.

In this way, measurement is not just reporting for reporting’s sake. Data becomes an active foundation for learning, prioritization, and better decision-making.

Quality Becomes a Shared Responsibility

Observation & Quality Management is also about embedding quality practices throughout the organization. Quality is not the sole responsibility of testers. Management needs insights to make informed decisions about priorities. Business stakeholders need to connect quality with user needs and business objectives. Development and testing teams must be able to respond to the signals that emerge in their daily work. When all relevant roles share the same understanding of quality, it becomes easier to make decisions and take action earlier. This represents the shift from reactive quality assurance to strategic quality management.

Observation & Quality Management | Continuous Software Quality

The QI Cycle Continues

Observation & Quality Management is the fifth step, but it is not the end of Quality Intelligence.

As the organization achieves new results and gains new insights, its starting point also changes. By this stage, however, you have established:

A regular, decision-focused review cadence
Continuous visibility into progress, impact, and obstacles
A clear record of decisions and lessons learned when choosing whether to continue, stop, adjust, or scale
Successful, evidence-based practices embedded in the organization
A clear foundation for the next Quality Assessment

It may therefore be valuable to return to the Quality Assessment and ask:

Where Do We Stand Now?

In this way, Quality Intelligence becomes an iterative process that evolves alongside the organization, technology, and business needs.

Other Steps in Quality Intelligence

1. Quality Assessment

2. Gap Analysis

3. Action Points

4. Quality Measurements

Quality Intelligence

Want to Take a More Continuous, Data-Driven Approach to Software Quality?

TestHuset helps you establish the ongoing reviews and quality management practices needed to make improvements visible and embed them across your organization.