Test Execution Report Template¶
Version: 1.0
Purpose: This template provides a standardized format for reporting test execution progress, results, and metrics to stakeholders. It tracks testing activities, defect status, and overall quality assessment.
When to Use: During Test Execution (Phase 4) and Test Results Reporting (Phase 6). Generate reports daily, weekly, at sprint/phase completion, or as needed for stakeholder communication.
Usage Guidance¶
Who Should Use This Template?¶
- Test Leads managing test execution activities
- Test Managers reporting to stakeholders
- QA Teams tracking testing progress
- Project Managers monitoring quality status
- Scrum Masters reporting sprint testing results
How to Use This Template¶
- Select Report Type: Choose appropriate frequency (Daily/Weekly/Sprint/Phase/Final)
- Gather Data: Collect metrics from test management tools, defect tracking systems
- Update Sections: Fill in relevant sections based on report type and audience
- Add Analysis: Don't just report numbers - provide insights and context
- Highlight Issues: Call attention to blockers, risks, and concerns
- Make Recommendations: Provide actionable suggestions based on findings
- Distribute: Share with appropriate stakeholders via agreed communication channels
Tips for Effective Test Reporting¶
- Be Timely: Report regularly and consistently according to schedule
- Be Accurate: Verify all numbers and facts before publishing
- Be Honest: Don't hide problems - surface issues early
- Be Clear: Use simple language and visual representations where possible
- Focus on Insights: Explain what the numbers mean, not just the numbers
- Provide Context: Compare against baselines, previous periods, or targets
- Be Actionable: Include recommendations and next steps
- Tailor to Audience: Adjust level of detail based on who will read the report
Report Type Guidelines¶
Daily Reports: - Keep brief (1-2 pages) - Focus on: Yesterday's progress, today's plan, blockers - Audience: Test team, immediate stakeholders - Sections to include: Executive Summary, Test Execution Summary, Top Defects, Blockers
Weekly Reports: - Moderate detail (3-5 pages) - Focus on: Week's progress, cumulative metrics, trends - Audience: Project team, stakeholders, management - Sections to include: All sections with weekly data and trend analysis
Sprint/Iteration Reports (Agile): - Comprehensive (5-7 pages) - Focus on: Sprint goals met, acceptance criteria, velocity impact - Audience: Scrum team, product owner, stakeholders - Include: Sprint-specific metrics, retrospective items, carry-over work
Phase/Milestone Reports (Waterfall): - Detailed (8-12 pages) - Focus on: Phase completion criteria, comprehensive analysis - Audience: All stakeholders, management, approval authorities - Include: Complete analysis, recommendations, go/no-go assessment
Final Test Report: - Complete and comprehensive (10-15 pages) - Focus on: Overall project testing summary, final quality assessment - Audience: Executive management, project sponsors, all stakeholders - Include: All sections, lessons learned, sign-off, archival quality
Report Information¶
Field Explanations: This section identifies the report and provides context.
| Field | Value | Instructions |
|---|---|---|
| Project Name | [Project Name] | Full name of the project or application being tested |
| Report Period | [Start Date] to [End Date] | Time period covered by this report (YYYY-MM-DD format) |
| Report Type | [Daily/Weekly/Sprint/Phase/Final] | Select appropriate report frequency and scope |
| Report Date | [Date] | Date when this report was generated |
| Prepared By | [Name] | Test Lead or Test Manager who prepared this report |
| Version | [Version Number] | Version of this report if multiple drafts (e.g., 1.0, 1.1) |
Executive Summary¶
Purpose: Provides a high-level overview for stakeholders who may not read the entire report. Should be understandable by non-technical readers.
Overview¶
What to include: 2-3 paragraph summary covering: - What testing was performed during this period - Key results and findings - Overall status and confidence level - Critical issues or decisions needed
Tips: - Write this section last, after completing the detailed sections - Keep language non-technical - Focus on business impact and status - Be concise but complete
Example: "During Week 3 of testing (Feb 12-16), the QA team executed 247 test cases across the Shopping Cart and Checkout modules. We achieved an 88% pass rate with 30 defects discovered, including 3 high-severity issues that are currently blocking release. Test coverage has reached 82% of planned test cases. Overall testing is progressing but slightly behind schedule due to environment instability on Feb 14-15. The team recommends addressing the 3 high-severity defects before proceeding to UAT." [Brief summary of test execution activities and key results - 2-3 paragraphs]
Key Highlights¶
What to include: 4-6 bullet points highlighting the most important information. Include both positive achievements and concerns.
Use visual indicators: - ✅ for achievements and positive results - ⚠️ for concerns, risks, or items needing attention - 🔴 for critical issues or blockers
Examples: - ✅ Completed regression testing ahead of schedule (110% of plan) - ✅ Test automation coverage increased to 65% - ⚠️ Pass rate below target (88% actual vs 95% target) - ⚠️ 3 high-severity defects blocking UAT readiness - 🔴 Environment downtime impacted testing for 8 hours - ✅ [Positive highlight 1] - ✅ [Positive highlight 2] - ⚠️ [Concern or risk 1] - ⚠️ [Concern or risk 2]
Overall Status¶
Selection Guide: - 🟢 On Track: Testing progressing as planned, metrics meeting targets, no major concerns - 🟡 At Risk: Some concerns present, metrics slightly below target, active mitigation in place - 🔴 Critical: Significant issues blocking progress, metrics well below target, immediate action required - [ ] 🟢 On Track - No major issues, meeting targets - [ ] 🟡 At Risk - Some concerns need attention, slightly off target - [ ] 🔴 Critical - Significant issues blocking progress, well below target
Test Execution Summary¶
Purpose: Provides detailed metrics about test execution activities and results. This is the core data section of the report.
Test Execution Statistics¶
Field Explanations:
| Metric | Purpose | How to Calculate |
|---|---|---|
| Test Cases Planned | Total number of test cases intended for execution | From test plan or test management tool |
| Test Cases Executed | How many test cases were actually run | Count of all executed tests (pass + fail + blocked) |
| Test Cases Passed | Tests that met expected results | Count of tests with "Pass" status |
| Test Cases Failed | Tests that did not meet expected results | Count of tests with "Fail" status |
| Test Cases Blocked | Tests that couldn't be executed due to blockers | Count of tests with "Blocked" status |
| Test Cases Not Executed | Tests planned but not yet run | Planned - Executed |
| Percentage | Progress and quality indicators | (Metric / Total) × 100 |
Key Metrics to Monitor: - Execution Progress: (Executed / Planned) × 100 - Target: 100% by end of cycle - Pass Rate: (Passed / Executed) × 100 - Target: typically 90-95% - Fail Rate: (Failed / Executed) × 100 - Lower is better - Block Rate: (Blocked / Executed) × 100 - Should be minimal; indicates environmental issues
| Metric | Planned | Actual | Percentage |
|---|---|---|---|
| Test Cases Planned | [Number] | [Number] | [%] |
| Test Cases Executed | [Number] | [Number] | [%] |
| Test Cases Passed | - | [Number] | [%] |
| Test Cases Failed | - | [Number] | [%] |
| Test Cases Blocked | - | [Number] | [%] |
| Test Cases Not Executed | - | [Number] | [%] |
Test Execution Progress¶
Purpose: Visual representation of testing progress toward completion.
How to create: - Calculate percentage: (Executed / Planned) × 100 - Show progress visually with bar or percentage - Include actual numbers for context
Example interpretation: - "85% complete means 425 of 500 test cases executed, 75 remaining" - "92% pass rate means 391 passed, 34 failed out of 425 executed"
Test Execution by Priority¶
Purpose: Shows testing focus and quality by priority level. High-priority tests should be executed first and have high pass rates.
What to analyze: - High-priority pass rate should be 95%+ before release - If high-priority fail rate is significant, release is at risk - Medium/Low priority can have slightly lower pass rates - Blocked high-priority tests are critical blockers
Tips: - Execute high-priority tests first - Report high-priority metrics separately in executive summary - If high-priority tests are blocked, escalate immediately
| Priority | Total | Executed | Pass | Fail | Blocked | Pass Rate |
|---|---|---|---|---|---|---|
| High | [#] | [#] | [#] | [#] | [#] | [%] |
| Medium | [#] | [#] | [#] | [#] | [#] | [%] |
| Low | [#] | [#] | [#] | [#] | [#] | [%] |
| Total | [#] | [#] | [#] | [#] | [#] | [%] |
Test Execution by Module/Feature¶
Purpose: Identifies which areas of the application have been tested and their quality status.
What to analyze: - Modules with low pass rates need attention - Modules not yet tested represent coverage gaps - Modules with many blocked tests have environmental issues - Compare pass rates across modules to identify problem areas
Tips: - Prioritize testing critical/high-risk modules first - Low pass rates in core modules are release blockers - Track trends - is pass rate improving or declining over time?
| Module/Feature | Total | Executed | Pass | Fail | Blocked | Pass Rate |
|---|---|---|---|---|---|---|
| [Module 1] | [#] | [#] | [#] | [#] | [#] | [%] |
| [Module 2] | [#] | [#] | [#] | [#] | [#] | [%] |
| [Module 3] | [#] | [#] | [#] | [#] | [#] | [%] |
| Total | [#] | [#] | [#] | [#] | [#] | [%] |
Test Execution by Test Type¶
Purpose: Shows coverage across different testing types (functional, integration, performance, security, etc.).
What to analyze: - Ensure all planned test types are being executed - Different test types may have different pass rate expectations - Performance tests may take longer to execute - Security tests findings should be addressed with high priority
Common Test Types: - Functional: Core feature validation (target: 95%+ pass rate) - Integration: Component interaction testing (target: 90%+ pass rate) - Regression: Existing functionality verification (target: 95%+ pass rate) - Performance: Load, stress, scalability testing (target: 100% pass) - Security: Vulnerability and penetration testing (target: 100% pass)
| Test Type | Total | Executed | Pass | Fail | Pass Rate |
|---|---|---|---|---|---|
| Functional | [#] | [#] | [#] | [#] | [%] |
| Integration | [#] | [#] | [#] | [#] | [%] |
| Regression | [#] | [#] | [#] | [#] | [%] |
| Performance | [#] | [#] | [#] | [#] | [%] |
| Security | [#] | [#] | [#] | [#] | [%] |
| Total | [#] | [#] | [#] | [#] | [%] |
Defect Summary¶
Purpose: Provides comprehensive view of defect status, trends, and impact. Critical for assessing release readiness.
Defect Statistics¶
Field Explanations:
Status Definitions: - New: Just reported, not yet reviewed or assigned - Open: Acknowledged and in queue for fixing - In Progress: Developer actively working on fix - Fixed: Developer completed fix, ready for retest - Retest: QA testing the fix - Verified: Fix confirmed working, defect will be closed - Closed: Fix verified, defect lifecycle complete - Reopened: Fix did not work, defect returned to developer
Severity Definitions: - Critical: System crash, data loss, security breach, complete feature failure - High: Major functionality broken, significant user impact - Medium: Partial functionality issue, workaround available - Low: Minor issues, cosmetic problems
What to analyze: - High number of New/Open defects indicates discovery rate exceeds fix rate - Critical/High defects in Open status are potential release blockers - High Reopened count suggests fix quality issues - Compare total defects to expected/baseline for similar projects
| Status | Critical | High | Medium | Low | Total |
|---|---|---|---|---|---|
| New | [#] | [#] | [#] | [#] | [#] |
| Open | [#] | [#] | [#] | [#] | [#] |
| In Progress | [#] | [#] | [#] | [#] | [#] |
| Fixed | [#] | [#] | [#] | [#] | [#] |
| Retest | [#] | [#] | [#] | [#] | [#] |
| Verified | [#] | [#] | [#] | [#] | [#] |
| Closed | [#] | [#] | [#] | [#] | [#] |
| Reopened | [#] | [#] | [#] | [#] | [#] |
| Total | [#] | [#] | [#] | [#] | [#] |
Defects by Module/Feature¶
Purpose: Identifies which areas of the application have the most defects, indicating code quality or complexity issues.
What to analyze: - Modules with high defect counts may need code review or refactoring - Concentration of critical/high defects in one module is concerning - Compare defect density (defects per test case or per KLOC) - Modules with zero defects may indicate insufficient testing
Tips: - Focus developer attention on high-defect modules - Consider additional testing for modules with low but concentrated severity defects - Track trends - are defects being fixed faster than new ones are found?
| Module/Feature | Critical | High | Medium | Low | Total |
|---|---|---|---|---|---|
| [Module 1] | [#] | [#] | [#] | [#] | [#] |
| [Module 2] | [#] | [#] | [#] | [#] | [#] |
| [Module 3] | [#] | [#] | [#] | [#] | [#] |
| Total | [#] | [#] | [#] | [#] | [#] |
Top Critical/High Defects¶
Purpose: Highlights the most important defects that require immediate attention and stakeholder awareness.
What to include: - All Critical defects (should be listed individually) - Top 5-10 High severity defects - Brief description that non-technical stakeholders can understand - Current status and owner for accountability - Impact on release if not fixed
Tips: - Update this section frequently as defects are fixed - Provide ETA for fixes when available - Highlight any defects blocking release or UAT
| Defect ID | Summary | Severity | Status | Assigned To |
|---|---|---|---|---|
| DEF-[ID] | [Brief description] | Critical | [Status] | [Name] |
| DEF-[ID] | [Brief description] | High | [Status] | [Name] |
| DEF-[ID] | [Brief description] | High | [Status] | [Name] |
Defect Trends¶
Purpose: Shows how defect status is changing over time, indicating testing progress and code quality trends.
What to track: - Discovery Rate: New defects found per day/week - Fix Rate: Defects fixed per day/week
- Closure Rate: Defects verified and closed per day/week - Reopen Rate: Percentage of defects that get reopened
Key Metrics:
Defect Discovery vs. Fix Rate: - If discovery rate > fix rate: Defect backlog is growing (concerning) - If fix rate > discovery rate: Backlog is shrinking (positive trend) - Discovery rate should decrease over time as testing matures
Defect Closure Rate: - Formula: (Closed Defects / Total Defects Found) × 100 - Target: Should approach 100% as testing completes - Low closure rate indicates verification bottleneck or fix quality issues
Defect Reopen Rate: - Formula: (Reopened Defects / Fixed Defects) × 100 - Target: < 10% is healthy, > 20% indicates quality problems - High reopen rate suggests need for better code review or testing
Example: "This week we found 28 new defects and fixed 35, reducing our active defect count from 67 to 60. Our closure rate is 73% (88 closed of 120 total found). Reopen rate is 8%, indicating good fix quality."
Test Coverage¶
Purpose: Measures how thoroughly the application has been tested against requirements and code.
Requirements Coverage¶
Field Explanations: - Total Requirements: All requirements identified for testing (from requirements document or backlog) - Requirements Tested: Requirements that have associated executed test cases - Coverage Percentage: (Requirements Tested / Total Requirements) × 100 - Requirements Not Tested: Gap that needs to be addressed
What to include: - Current coverage percentage - Breakdown by requirement priority or module - Gap analysis for untested requirements - Plan to close coverage gaps
Target Coverage: - High-priority requirements: 100% - Medium-priority requirements: 95%+ - Low-priority requirements: 80%+
Example: "We have tested 178 of 200 total requirements (89% coverage). All 45 high-priority requirements have test coverage. The 22 untested requirements are low-priority edge cases planned for next sprint."
Code Coverage (if applicable)¶
Purpose: Measures what percentage of code has been executed during testing (typically from automated tests).
Field Explanations: - Line Coverage: Percentage of code lines executed during tests - Branch Coverage: Percentage of decision branches (if/else) executed - Function Coverage: Percentage of functions/methods called during tests
Coverage Targets (vary by project): - Critical modules: 90%+ line coverage - Standard modules: 80%+ line coverage - UI/Integration: 70%+ coverage acceptable
Note: High code coverage doesn't guarantee quality - it shows what was executed, not what was validated. Combine with functional test metrics for complete picture.
- Line Coverage: [%] - Example: 76% (18,453 of 24,280 lines)
- Branch Coverage: [%] - Example: 68% (2,341 of 3,442 branches)
- Function Coverage: [%] - Example: 82% (1,876 of 2,287 functions)
Test Case Coverage by Requirement¶
Purpose: Shows traceability between requirements and test cases, identifying coverage gaps.
What to analyze: - Requirements with no test cases (coverage gap) - Requirements with single test case (may need more scenarios) - Requirements with many failing tests (quality concern) - Test cases not linked to requirements (waste or traceability issue)
Best Practice: Maintain a traceability matrix linking requirements to test cases to ensure complete coverage.
[Summary of requirements-to-test-case mapping status. Reference Traceability Matrix for details.]
Test Environment¶
Purpose: Documents environment status and its impact on testing. Environment issues are a leading cause of test execution delays.
Environment Status¶
Selection Guide: - [ ] Stable and available - Environment functioning properly, no significant issues - [ ] Minor issues, workarounds available - Some problems but testing can continue - [ ] Unstable, impacting testing - Frequent issues causing test delays or failures - [ ] Unavailable - Environment down, testing blocked
Environment Issues¶
What to document: - Specific problems encountered (database connectivity, service failures, etc.) - Impact level: High (blocks all testing), Medium (blocks some tests), Low (minor inconvenience) - Current status: Open, In Progress, Resolved - Resolution details or ETA
Tips: - Track environment downtime separately (see below) - Escalate high-impact environment issues immediately - Document workarounds to help team continue testing | Issue | Impact | Status | Resolution | |-------|--------|--------|------------| | [Issue description] | [High/Med/Low] | [Open/Resolved] | [Resolution or ETA] |
Environment Downtime¶
Purpose: Quantifies the impact of environment issues on testing productivity.
What to track: - Total downtime hours during reporting period - Root cause of downtime (infrastructure, deployment, configuration, etc.) - Impact on test schedule and coverage - Actions taken to prevent future downtime
Formula: Sum of all hours when environment was unavailable or unusable for testing
Example: "Environment was down for 8 hours total this week due to database migration (6 hours) and network outage (2 hours). This caused a 1-day delay in regression testing. Infrastructure team has implemented monitoring to prevent recurrence."
- Total Downtime: [Hours] - Example: "8 hours over 2 incidents"
- Impact on Testing: [Description] - Example: "Delayed completion of 35 test cases, pushed to next day"
Test Execution Details¶
Test Cycles Completed¶
- [Cycle Name] - [Start Date] to [End Date]
- Test Cases Executed: [#]
- Pass Rate: [%]
- Defects Found: [#]
Automated vs Manual Testing¶
| Type | Test Cases | Executed | Pass Rate | Time Saved |
|---|---|---|---|---|
| Automated | [#] | [#] | [%] | [Hours] |
| Manual | [#] | [#] | [%] | - |
Test Execution Timeline¶
[Insert Gantt chart or timeline visualization if available]
Risks and Issues¶
Current Risks¶
| Risk ID | Risk Description | Probability | Impact | Mitigation Plan | Owner |
|---|---|---|---|---|---|
| R1 | [Risk description] | High/Med/Low | High/Med/Low | [Mitigation] | [Name] |
| R2 | [Risk description] | High/Med/Low | High/Med/Low | [Mitigation] | [Name] |
Current Issues/Blockers¶
| Issue ID | Issue Description | Impact | Status | Resolution Plan | Owner |
|---|---|---|---|---|---|
| I1 | [Issue description] | High/Med/Low | Open/In Progress | [Plan] | [Name] |
| I2 | [Issue description] | High/Med/Low | Open/In Progress | [Plan] | [Name] |
Schedule Status¶
Planned vs Actual¶
| Milestone | Planned Date | Actual Date | Status | Variance |
|---|---|---|---|---|
| [Milestone 1] | [Date] | [Date] | [Status] | [Days] |
| [Milestone 2] | [Date] | [Date] | [Status] | [Days] |
Overall Schedule Status¶
- On Schedule
- Ahead of Schedule by [days]
- Behind Schedule by [days]
Resource Utilization¶
Team Effort¶
| Team Member | Role | Planned Hours | Actual Hours | Utilization |
|---|---|---|---|---|
| [Name] | [Role] | [Hours] | [Hours] | [%] |
| [Name] | [Role] | [Hours] | [Hours] | [%] |
| Total | - | [Hours] | [Hours] | [%] |
Resource Constraints¶
[Describe any resource limitations or needs]
Test Metrics¶
Purpose: Provides quantitative measures of testing effectiveness, efficiency, and quality. Use these metrics to identify trends and make data-driven decisions.
Quality Metrics¶
Metric Definitions and Formulas:
Defect Density: - Formula: Total Defects / Module Size (test cases, KLOC, story points, etc.) - Purpose: Normalizes defect count by size for fair comparison - Example: "Module A: 15 defects / 50 test cases = 0.3 defects per test case" - Benchmark: < 0.5 defects per test case is typical; varies by industry - Use: Compare modules, identify problem areas, track improvement over time
Defect Removal Efficiency (DRE): - Formula: (Defects Found in Testing / Total Defects Found) × 100 - Purpose: Measures testing effectiveness at finding defects before production - Example: "Found 95 defects in testing, 5 escaped to production: 95/(95+5) = 95% DRE" - Benchmark: > 95% is excellent, 85-95% is good, < 85% needs improvement - Note: Requires tracking production defects to calculate accurately
Test Effectiveness: - Formula: (Defects Found / Total Defects) × 100 - Purpose: Percentage of all defects found through testing - Interpretation: Higher is better, indicates thorough testing - Note: "Total Defects" includes those found in production
Test Efficiency: - Formula: Test Cases Executed / Time Period (per day, per week) - Purpose: Measures testing team productivity - Example: "Executed 425 test cases in 5 days = 85 test cases per day" - Use: Capacity planning, identifying process bottlenecks - Note: Balance efficiency with quality - faster isn't always better
- Defect Density: [Value] - Example: "0.28 defects per test case" or "2.1 defects per KLOC"
- Defect Removal Efficiency: [%] - Example: "94% (94 found in testing of 100 total)"
- Test Effectiveness: [%] - Example: "89% (123 found through testing / 138 total defects)"
- Test Efficiency: [Number] - Example: "67 test cases per day"
Productivity Metrics¶
Purpose: Measures team output and helps with capacity planning and process improvement.
Metric Definitions:
Average Test Cases per Day: - Formula: Total Test Cases Executed / Number of Working Days - Purpose: Team velocity measurement - Use: Sprint planning, schedule estimation, resource allocation - Factors affecting: Test complexity, automation level, environment stability - Example: "Executed 335 test cases over 5 days = 67 test cases per day"
Average Defects Found per Day: - Formula: New Defects Logged / Number of Testing Days - Purpose: Defect discovery rate - Trend: Should decrease as testing matures and quality improves - Example: "Found 28 new defects over 5 days = 5.6 defects per day"
Average Time per Test Case: - Formula: Total Testing Hours / Test Cases Executed - Purpose: Helps estimate testing effort for future projects - Use: Improve test case design, identify complex tests - Example: "450 hours / 335 test cases = 1.34 hours (80 minutes) per test case"
Achievements¶
Completed This Period¶
- [Achievement 1]
- [Achievement 2]
- [Achievement 3]
Test Automation Progress¶
- New automated tests added: [#]
- Total automated test suite size: [#]
- Automation coverage: [%]
Challenges¶
Challenges Faced¶
- [Challenge 1]
- Impact: [Description]
-
Resolution: [How it was resolved or plan to resolve]
-
[Challenge 2]
- Impact: [Description]
- Resolution: [How it was resolved or plan to resolve]
Action Items¶
| Action Item | Owner | Due Date | Priority | Status |
|---|---|---|---|---|
| [Action 1] | [Name] | [Date] | High/Med/Low | [Open/In Progress/Complete] |
| [Action 2] | [Name] | [Date] | High/Med/Low | [Open/In Progress/Complete] |
Next Steps¶
Planned for Next Period¶
- [Planned activity 1]
- [Planned activity 2]
- [Planned activity 3]
Focus Areas¶
- [Focus area 1]
- [Focus area 2]
Recommendations¶
- [Recommendation 1]
- Rationale: [Why this is recommended]
-
Expected Impact: [What will improve]
-
[Recommendation 2]
- Rationale: [Why this is recommended]
- Expected Impact: [What will improve]
Appendices¶
Appendix A: Detailed Test Results¶
[Link to detailed test case results]
Appendix B: Defect List¶
[Link to complete defect list]
Appendix C: Test Environment Details¶
[Link to environment configuration details]
Appendix D: Test Data¶
[Link to test data documentation]
Approvals¶
| Role | Name | Signature | Date |
|---|---|---|---|
| Test Lead | |||
| Test Manager | |||
| Project Manager |
Best Practices for Test Execution Reporting¶
Creating Effective Reports¶
Do: - ✅ Report Regularly: Maintain consistent schedule (daily/weekly/sprint) - ✅ Be Accurate: Verify all numbers before publishing - ✅ Provide Context: Explain what metrics mean, don't just list numbers - ✅ Highlight Key Issues: Make critical problems visible to stakeholders - ✅ Be Honest: Surface problems early rather than hiding them - ✅ Include Trends: Show progress over time, not just point-in-time data - ✅ Make it Visual: Use charts, graphs, and progress bars when possible - ✅ Provide Recommendations: Include actionable next steps - ✅ Tailor to Audience: Adjust detail level based on readers - ✅ Update Promptly: Report reflects current status, not outdated information
Don't: - ❌ Report Numbers Without Context: Explain what 85% pass rate means for the project - ❌ Hide Problems: Stakeholders need truth to make informed decisions - ❌ Over-Complicate: Keep language simple and clear - ❌ Forget the Executive Summary: Many stakeholders only read this section - ❌ Skip Metrics Explanations: Not everyone understands QA terminology - ❌ Ignore Trends: One-time snapshots don't show the full picture - ❌ Report Vanity Metrics: Focus on meaningful metrics that drive decisions
Interpreting Metrics¶
Pass Rate Analysis: - > 95%: Excellent - Ready for release consideration - 90-95%: Good - Address remaining failures, likely ready - 80-90%: Concerning - Need to fix defects and retest - < 80%: Critical - Significant quality issues, not ready for release
Defect Trends: - Decreasing discovery rate + increasing fix rate: Positive - Testing maturing, quality improving - Increasing discovery rate + low fix rate: Negative - Backlog growing, delays likely - High reopen rate (> 20%): Warning - Fix quality issues, need better code review
Coverage Analysis: - 100% requirement coverage: Comprehensive, but verify test quality - < 80% requirement coverage: Significant gaps, incomplete testing - High code coverage but low requirement coverage: Testing implementation, not requirements
Communication Tips¶
For Different Audiences:
Executive Management: - Focus on: Overall status (Red/Yellow/Green), key risks, go/no-go recommendation - Keep it brief: 1-2 pages maximum - Use visuals: Charts and graphs over tables - Avoid jargon: Plain language explanations
Project Managers: - Focus on: Schedule impact, resource needs, blockers, risks - Include: Detailed metrics, trend analysis, action items - Be specific: Dates, owners, dependencies
Development Team: - Focus on: Defect details, module quality, specific issues - Include: Technical details, root causes, patterns - Provide: Actionable feedback for improvement
Test Team: - Focus on: Detailed test results, coverage gaps, process issues - Include: All metrics, test case status, environment issues - Provide: Guidance for next testing cycle
Metrics Dashboard Recommendations¶
Essential Metrics for Dashboard: 1. Overall test execution progress (percentage complete) 2. Pass/Fail/Blocked count and percentages 3. Defect count by severity 4. Open critical/high defect count 5. Test coverage percentage 6. Environment status indicator
Update Frequency: - Daily reports: Update at end of each testing day - Weekly reports: Update every Friday or Monday - Sprint reports: Update at sprint end - Dashboards: Real-time or daily automated updates
Common Pitfalls to Avoid¶
- Over-Reporting: Too much data overwhelms stakeholders
-
Solution: Focus on key metrics and trends
-
Under-Reporting: Insufficient information for decision-making
-
Solution: Include all essential sections with adequate detail
-
Outdated Reports: Reporting old data that doesn't reflect current status
-
Solution: Establish regular reporting cadence and stick to it
-
No Analysis: Just presenting numbers without interpretation
-
Solution: Always explain what metrics mean and implications
-
Ignoring Trends: Only reporting current values
-
Solution: Include trend charts and period-over-period comparisons
-
Inconsistent Reporting: Changing format or metrics frequently
- Solution: Standardize reporting format and maintain consistency
Related Documentation¶
Phase Documentation¶
- Phase 4: Test Execution - Test execution activities
- Phase 6: Test Results Reporting - Comprehensive reporting guidance
Related Templates¶
- Test Summary Report Template - Final comprehensive test report
- Defect Report Template - Detailed defect information
- Test Plan Template - Reference to test strategy and goals
Methodology Guides¶
- Agile Testing - Sprint execution reporting
- Scrum Testing - Daily standup and sprint review reporting
- Waterfall Testing - Phase completion reporting
End of Test Execution Report Template