Learn vocabulary for annual salary reviews, merit increases, and promotion cycles.
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What is a 'merit increase' in compensation vocabulary?
A merit increase is a performance-driven annual salary increase — typically 2–10% of base salary depending on performance rating. Distinguished from market adjustments (fixing below-market pay) and promotions (level change).
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What is 'compa-ratio' in compensation analytics?
Compa-ratio = employee salary / band midpoint. A ratio of 1.0 means the employee is at the midpoint. Below 1.0 may indicate room for merit increases; above 1.0 may limit merit increases even for top performers.
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What does 'promo cycle' mean in tech company vocabulary?
A promo cycle is the scheduled promotion review period (e.g., biannually: May and November). Managers submit promotion packets, calibration happens, and results are communicated — often with compensation changes effective the following cycle.
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What does 'below-band' mean for an employee's salary?
Below-band means an employee's salary is below the minimum of their level's compensation band. Companies typically address this proactively with a market adjustment to avoid retention risk and pay equity issues.
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What is 'pay transparency' in modern compensation vocabulary?
Pay transparency ranges from minimal (sharing ranges only in job postings, as required by laws in California, New York, Colorado) to full (all salaries visible to all employees, as at Buffer). UK requires gender pay gap reporting.
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During a standup meeting, Sarah says: 'I finished implementing the user authentication service refactor – it's now significantly more performant and secure. I've added comprehensive unit tests and am confident in its stability. I believe this work warrants a substantial increase in my salary.'
What is Sarah *most likely* intending to discuss with her team regarding her compensation?
Sarah explicitly connects her accomplishment – 'significant increase in performance and security' – to a request for compensation. While she *could* be initiating a formal review process (option 1), the phrasing 'warrants' directly implies a salary adjustment. Option 3 is too strong; she's not simply stating that, but requesting it. Option 4 is irrelevant to the stated justification.
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API Response: { "status": "200", "data": {"employee_id": "78945", "current_salary": 90000, "performance_rating": "Exceeds Expectations", "recommendation": "Consider a salary increase based on recent contributions and positive performance review." } }
Based on this API response, what is the likely outcome regarding the employee's compensation?
The API response clearly states 'Consider a salary increase…'. This indicates that the manager is *advised* to implement an adjustment based on the data presented – particularly the high performance rating. Options 2 and 3 are incorrect because the API doesn't dictate independent decision-making or suggest no change. Option 4 contradicts the explicit recommendation.
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During a standup meeting, Sarah says: 'I finished implementing the user authentication service refactor – it's now significantly more performant and secure. I've added comprehensive unit tests and am confident in its stability. I believe this work warrants a substantial increase in my salary.'
What is Sarah *most likely* intending to discuss with her team regarding her compensation?
Sarah explicitly connects her accomplishment – 'significant increase in performance and security' – to a request for compensation. While she *could* be initiating a formal review process (option 1), the phrasing 'warrants' directly implies a salary adjustment. Option 3 is too strong; she's not simply stating that, but requesting it. Option 4 is irrelevant to the stated justification.
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API Response: { "status": "200", "data": {"employee_id": "78945", "current_salary": 90000, "performance_rating": "Exceeds Expectations", "recommendation": "Consider a salary increase based on recent contributions and positive performance review." } }
Based on this API response, what is the likely outcome regarding the employee's compensation?
The API response clearly states 'Consider a salary increase…'. This indicates that the manager is *advised* to implement an adjustment based on the data presented – particularly the high performance rating. Options 2 and 3 are incorrect because the API doesn't dictate independent decision-making or suggest no change. Option 4 contradicts the explicit recommendation.
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During a standup meeting, Sarah says: 'I finished implementing the user authentication service refactor – it's now significantly more performant and secure. I've added comprehensive unit tests and am confident in its stability. I believe this work warrants a substantial increase in my salary.'
What is Sarah *most likely* intending to discuss with her team regarding her compensation?
Sarah explicitly connects her accomplishment – 'significant increase in performance and security' – to a request for compensation. While she *could* be initiating a formal review process (option 1), the phrasing 'warrants' directly implies a salary adjustment. Option 3 is too strong; she's not simply stating that, but requesting it. Option 4 is irrelevant to the stated justification.
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API Response: { "status": "200", "data": {"employee_id": "78945", "current_salary": 90000, "performance_rating": "Exceeds Expectations", "recommendation": "Consider a salary increase based on recent contributions and positive performance review." } }
Based on this API response, what is the likely outcome regarding the employee's compensation?
The API response clearly states 'Consider a salary increase…'. This indicates that the manager is *advised* to implement an adjustment based on the data presented – particularly the high performance rating. Options 2 and 3 are incorrect because the API doesn't dictate independent decision-making or suggest no change. Option 4 contradicts the explicit recommendation.
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During a standup meeting, Sarah says: 'I finished implementing the user authentication service refactor – it's now significantly more performant and secure. I've added comprehensive unit tests and am confident in its stability. I believe this work warrants a substantial increase in my salary.'
What is Sarah *most likely* intending to discuss with her team regarding her compensation?
Sarah explicitly connects her accomplishment – 'significant increase in performance and security' – to a request for compensation. While she *could* be initiating a formal review process (option 1), the phrasing 'warrants' directly implies a salary adjustment. Option 3 is too strong; she's not simply stating that, but requesting it. Option 4 is irrelevant to the stated justification.
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API Response: { "status": "200", "data": {"employee_id": "78945", "current_salary": 90000, "performance_rating": "Exceeds Expectations", "recommendation": "Consider a salary increase based on recent contributions and positive performance review." } }
Based on this API response, what is the likely outcome regarding the employee's compensation?
The API response clearly states 'Consider a salary increase…'. This indicates that the manager is *advised* to implement an adjustment based on the data presented – particularly the high performance rating. Options 2 and 3 are incorrect because the API doesn't dictate independent decision-making or suggest no change. Option 4 contradicts the explicit recommendation.
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// Review comment: 'Performance metrics show a 20% increase in API response times after this change. Investigate further.' What does 'performance metrics' most accurately refer to in this context?
A) The developer's coding speed.
B) Quantitative data measuring the system's responsiveness, such as average latency or throughput.
C) Subjective opinions about the code's aesthetics.
D) The number of bugs reported during testing.
'Performance metrics' are objective measurements of a system's behavior. Here, it refers to quantifiable data – like response times – used to assess how well the system is functioning. Option A is incorrect because performance metrics aren't about speed of development; option C is irrelevant, and option D focuses on defects rather than overall efficiency.
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// Slack message from John: 'Just wanted to flag that my review score is 'Needs Improvement' again. I've been consistently exceeding expectations on my key metrics. Can we discuss this?' What does the term 'flag' most likely mean in this Slack conversation?
A) To formally submit a bug report.
B) To draw attention to an issue or concern, often requiring further discussion.
C) To request additional training resources.
D) To acknowledge receipt of a message.
'Flag' in this context signifies drawing attention to something needing action. John is highlighting a discrepancy between his performance and his review score, indicating he wants to discuss it. Options A and C are not relevant to the message's intent; option D simply describes acknowledging receipt.
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// API Response: { "status": "200", "data": {"employee_id": "67890", "salary": 85000, "job_title": "Senior Developer", "performance_rating": "Meets Expectations" } The API response indicates 'Meets Expectations'. What does this primarily signify regarding the employee's compensation?
A) The employee is eligible for an immediate salary increase.
B) The employee's current salary is sufficient, and no change is recommended at this time.
C) The employee's performance warrants a formal warning about potential future changes to their compensation.
D) The employee should immediately seek a promotion.
'Meets Expectations' is the baseline rating. It indicates the employee's performance is satisfactory and doesn't automatically trigger an increase or decrease. Option A is incorrect because it implies immediate action; option C describes a negative outcome, and option D suggests an inappropriate career step.
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// PR Description: 'Refactored the data validation logic. Improved error handling and reduced code duplication.' What is the primary purpose of 'reducing code duplication' in this context?
A) To simplify the user interface.
B) To improve the system's performance by eliminating redundant calculations.
C) To make the codebase easier to maintain and update, reducing the risk of errors.
Reducing code duplication means eliminating redundant code blocks. This is a key principle of software development that promotes maintainability and reduces the risk of introducing errors when making changes. Option A focuses on UI; option B is about performance optimization, not duplication; and option D relates to feature addition.
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// Standup Update: 'I finished the initial implementation of the new notification service. It's sending alerts based on a simple rule engine – we can expand this later.' What does 'rule engine' imply about the system's future development?
A) The current implementation is fully optimized and will not require further changes.
B) The system's functionality will remain static, with no additions to the notification rules.
C) The rule engine provides a flexible framework for adding more sophisticated notification triggers and conditions in the future. D) The service should be immediately decommissioned due to its simplicity.
'Rule engine' suggests a modular design that allows for future expansion by adding new rules. This indicates the system isn't intended as a final solution but rather a foundation upon which more complex features can be built. Options A and B are too restrictive; option D is counterintuitive given the comment about expanding functionality.
What does the "Salary Reviews and Merit Increases — Vocabulary" exercise practise?
Learn vocabulary for annual salary reviews, merit increases, and promotion cycles.
How many questions are in this exercise?
This exercise has 18 questions, each multiple-choice with a full explanation shown after you answer.
What English level is this exercise for?
This exercise is tagged Intermediate. If the vocabulary feels difficult, browse the Compensation Leveling category page for an easier module to start with.
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Is "Salary Reviews and Merit Increases — Vocabulary" part of a larger series?
Yes — it's one exercise in the Compensation Leveling category on CoderSlingo. See the category page for the full list of related exercises on similar terminology.
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Where can I find more exercises like this one?
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