Purpose
The purpose of this framework is to define the standards and acceptance criteria that guide quality assurance at Memorres. Without a shared framework, “quality” can become subjective, leading to mismatched expectations between QA, development, and clients. This framework ensures that every project has a clear, measurable definition of what constitutes acceptable delivery. By aligning teams on these standards upfront, QA becomes a proactive assurance mechanism rather than a reactive defect-finding activity.
Scope
This framework applies to all delivery projects where QA is involved, regardless of scale or type—web, mobile, SaaS, or integration. It is relevant at the planning stage, during execution, and at final validation. The scope includes setting project-level acceptance criteria, linking them to client requirements, and ensuring alignment across QA, development, and project management. It does not cover performance reviews of individual team members, which fall under HR policies.
Framework Principles
The QA Standards & Acceptance Criteria Framework rests on five key principles that guide every project. These principles are not just theoretical anchors but practical guardrails that ensure QA is systematic, predictable, and aligned with client expectations. Each principle is explained below in detail with its application in Memorres’ lean delivery model.
1. Clarity
Clarity means that acceptance criteria must be expressed in clear, testable language. An ambiguous statement like “the application should be user-friendly” cannot serve as a valid acceptance criterion because it is subjective and open to interpretation. Instead, clarity requires that criteria specify measurable outcomes, such as “the user should be able to complete sign-up within three steps, with no error messages under normal conditions.”
In practice, this principle is applied during project planning and test design. QA leads work with project managers and developers to convert client requirements into precise statements that can be tested. Clarity ensures that when QA executes a test case, there is no debate about whether the outcome is acceptable—it is either met or not met. This avoids disagreements during handovers and gives the client confidence that delivery is being validated against concrete measures.
2. Traceability
Traceability requires that every acceptance criterion can be mapped directly back to a documented client requirement, user story, or contractual obligation. This prevents QA from testing assumptions or unapproved features. For example, if a requirement states that “the platform must support up to 1,000 concurrent users,” the acceptance criterion for load testing should trace back to this exact requirement, not an arbitrary benchmark chosen by the QA team.
At Memorres, traceability is maintained through linking requirements in MIC or project tools with corresponding test cases and results. This is especially critical in SaaS projects, where compliance and auditability matter. By practicing traceability, QA can provide evidence that all client requirements have been validated and nothing has been overlooked. It also supports efficient defect management, as every failed test can be tied back to a requirement, making prioritization and communication with stakeholders easier.
3. Consistency
Consistency ensures that all projects at Memorres follow uniform standards for writing acceptance criteria, designing tests, and recording results. Without consistency, each QA lead may adopt their own style, leading to confusion, lack of comparability, and difficulty in training new team members.
Consistency is achieved by using MIC-approved templates and reporting formats. Whether a project is a mobile app, web platform, or integration, the acceptance criteria are always logged in the same structure, test plans follow the same outline, and reports use the same metrics. This not only improves internal efficiency but also enhances client trust, as they see familiar formats and structured reporting across different projects. For lean teams, consistency reduces cognitive load—QA professionals don’t have to reinvent processes for each project but can rely on predictable structures.
4. Feasibility
Feasibility emphasizes that acceptance criteria must be realistic and testable within the given project’s scope, timeline, and resources. While clients may request extensive quality checks, lean teams must negotiate criteria that can be validated meaningfully within available constraints.
For example, a criterion like “system should support infinite concurrent users” is infeasible. Instead, feasibility requires scaling it to a measurable and achievable threshold, such as “1,000 concurrent users with response times under two seconds.” Similarly, non-functional requirements like security and accessibility must be defined in ways that QA can practically test (e.g., “WCAG 2.1 AA compliance for three primary workflows”).
This principle is applied during the planning stage when QA collaborates with PMs and clients to define acceptance criteria. It protects teams from overcommitting and ensures that QA delivers meaningful validation rather than chasing untestable promises.
5. Evidence-Based Validation
The final principle is evidence-based validation, which requires that every acceptance criterion be supported by objective proof—test cases, execution logs, screenshots, reports, or tool-generated outputs. QA conclusions cannot be based on subjective judgment like “it looked fine” or “we did not find issues.”
Evidence ensures that QA results are defensible in audits, client reviews, or escalations. For example, if a client questions whether the platform was tested for performance, QA must be able to show the actual load test report, not just claim it was done. In practice, evidence is captured through MIC templates, automation logs, and defect reports.
This principle is particularly critical in Memorres’ consulting-first approach, where credibility is built on transparency. Evidence provides both clients and internal stakeholders with confidence that quality has been validated rigorously and not left to assumption.
These principles form the backbone of QA at Memorres. Every project must define acceptance criteria during the planning stage, review them with stakeholders, and document them in MIC for traceability.
Closing Note & Cross-References
This framework establishes what QA measures against and ensures delivery quality is consistent across projects. It must always be applied alongside the QA Readiness & Environment Setup Checklist, which validates that acceptance criteria are approved before testing starts, and the QA Kickoff & Standards Alignment SOP, which operationalizes this framework into practice.