The productivity graph in a candidate's report is a powerful tool to understand and evaluate a candidate's abilities. It graphically represents the efficiency and score of a candidate in specific skills over a period of time. The core philosophy of Productivity Graph is to give customers a tool to decide if they want to "hire for the best, and improve the rest".

Let's explore in detail how to understand and interpret the data it provides.

The productivity graph is essentially a scatter plot with the time taken to solve questions on a particular skill on the x-axis (horizontal), and the total score on that skill on the y-axis (vertical).

The x-axis measures the time taken by a candidate to solve questions on a specific skill. As you move further right on the x-axis, it signifies the candidate took more time to solve questions related to that skill. This could mean they are less comfortable with the skill, or they are being more careful and taking time to ensure accuracy.

The y-axis quantifies the candidate's total score on that particular skill. The higher the point is on the y-axis, the higher the score the candidate has achieved. A higher score generally indicates a higher proficiency or knowledge in the skill being tested.

The graph is divided into four quadrants, each of which provides unique insights into the candidate's skills and potential areas of growth.

The first quadrant is located in the top-right corner of the graph, where both time and score are high. Candidates who have points in this quadrant have achieved high scores in a short amount of time. This indicates a high proficiency in the skill and a quick problem-solving ability. These are the skills where the candidate is strongest and most productive. They likely won't require additional support or training in these areas.

The second quadrant, located in the top-left corner of the graph, represents high scores that have taken a longer time to achieve. This suggests the candidate has a good grasp of the skill, but they may need to improve their efficiency. Encourage candidates with points in this quadrant to engage in self-learning and practice exercises to increase their speed without sacrificing accuracy.

The third quadrant, found in the bottom-left corner of the graph, represents skills where the candidate took a long time and still scored low. This indicates a significant struggle with the skill. Candidates with points in this quadrant would benefit from formal training or tutoring to improve their understanding and proficiency.

The fourth quadrant, in the bottom-right corner, indicates a low score achieved in a shorter amount of time. This could suggest the candidate rushed through these questions or lacks the foundational knowledge to solve them accurately. This inconsistency may indicate a lack of confidence or knowledge in this skill. Depending on the pattern of other skills, this quadrant could suggest a need for further self-study or formal instruction.

In conclusion, the productivity graph in candidate reports provides a powerful tool for assessing a candidate's strengths and identifying areas for improvement. By analyzing the data in each quadrant, you can develop a nuanced understanding of a candidate's skills and formulate an effective plan to enhance their productivity and proficiency.