A company surveyed its managers and employees to determine how important flexibility is to them and whether they use any...
GMAT Graphics Interpretation : (GI) Questions

A company surveyed its managers and employees to determine how important flexibility is to them and whether they use any of the company's flexible offerings themselves.
Based on the information provided, select from each drop-down menu the option that creates the most accurate statement.
Owning The Dataset
Table 1: Text Analysis
Text Component | Literal Content | Simple Interpretation |
---|---|---|
Survey Purpose | A company surveyed its managers and employees to determine how important flexibility is to them and whether they use any of the company's flexible offerings themselves | The company wants to know how much employees value flexibility and how often they use flexible work options |
Survey Participants | Managers and employees | The study includes both job leaders and regular staff |
Focus of Survey | Importance of flexibility, actual use of flexible options | Looks at both what people say and what they do regarding flexibility |
Table 2: Chart Analysis
Chart Component | What's Shown | What This Tells Us |
---|---|---|
Chart Type | Grouped bar chart; 4 groups of bars each with categories for manager, salaried, hourly | Enables comparison across job types and flexibility metrics |
X-axis Categories | 'say flexibility is important', 'use change of schedule', 'use time off scheduling', 'telecommute' | One measures attitude, three measure actual behavior |
Y-axis | Percentage of employees (0-100%) | All values are comparable as percentages |
Color Coding/Grouping | Black (manager), cyan (salaried), gray (hourly) | Shows differences by job type |
Bar Height Patterns | Importance rates high (\(\mathrm{89-93\%}\)) for all; actual use lower and varies by flexibility type | Reveals gap between perceived importance and actual usage of each flexibility type |
Key Insights
- Nearly all employee groups (\(\mathrm{89-93\%}\)) say flexibility is important, showing universal value placed on this feature.
- Actual use of specific flexible options varies: managers most often use schedule changes (\(\mathrm{82\%}\)), but are least likely to telecommute (\(\mathrm{21\%}\)).
- Hourly employees report highest telecommuting rates (\(\mathrm{33\%}\)), despite using schedule changes less (\(\mathrm{70\%}\)).
- Time off scheduling is infrequently used across all groups (\(\mathrm{6-11\%}\)), indicating a large gap between stated importance and this particular behavior.
- The consistent gap between high stated importance and lower actual usage suggests barriers or mismatch between needs and available offerings.
Step-by-Step Solution
Question 1: Identifying the group most likely to change their schedule
Complete Statement:
_____ are the group most likely to change their schedule.
Breaking Down the Statement
- Statement Breakdown 1:
- Key Phrase: most likely to change their schedule
- Meaning: Asks which group has the highest frequency or percentage of individuals who change their schedule.
- Relation to Chart: Relates to the 'use change of schedule' data point on the chart for each group.
- Important Implications: We must compare the percentages across all groups for this particular flexibility option.
- Key Phrase: most likely to change their schedule
- Statement Breakdown 2:
- Key Phrase: the group
- Meaning: Refers to one of the predefined answer choices: Managers, Salaried employees, Hourly employees.
- Relation to Chart: Only the three groups listed in the table/chart are possible answers.
- Important Implications: We can only select from among the provided categories.
- Key Phrase: the group
- What is needed: Which group (Managers, Salaried employees, Hourly employees) has the highest percentage for using change of schedule.
Solution:
- Condensed Solution Implementation:
Identify the 'use change of schedule' percentages for each group and select the highest. - Necessary Data points:
Managers: \(\mathrm{82\%}\), Salaried employees: \(\mathrm{78\%}\), Hourly employees: \(\mathrm{70\%}\) (from the chart).- Calculations Estimations:
Compare: \(\mathrm{82\% \gt 78\% \gt 70\%}\). - Comparison to Answer Choices:
Managers have the highest percentage, so Managers is the answer.
- Calculations Estimations:
FINAL ANSWER Blank 1: Managers
Question 2: Identifying the group least likely to telecommute and least likely to work a part-time schedule
Complete Statement:
_____ are the group least likely to telecommute and the group least likely to work a part-time schedule.
Breaking Down the Statement
- Statement Breakdown 1:
- Key Phrase: least likely to telecommute
- Meaning: Asks which group has the lowest percentage of telecommuters.
- Relation to Chart: Relates to the 'telecommute' data point for each group.
- Key Phrase: least likely to telecommute
- Statement Breakdown 2:
- Key Phrase: least likely to work a part-time schedule
- Meaning: Seeks the group with the lowest percentage for part-time schedule. The best proxy available is 'use time off scheduling' in the chart.
- Relation to Chart: Relates to the 'use time off scheduling' value in the chart.
- Key Phrase: least likely to work a part-time schedule
- What is needed: Which group has the lowest percentages for both telecommuting and time off scheduling.
Solution:
- Condensed Solution Implementation:
Check the values for telecommuting and time off scheduling for each group and select the group with the lowest values for both. - Necessary Data points:
Telecommute: Managers \(\mathrm{21\%}\), Salaried employees \(\mathrm{30\%}\), Hourly employees \(\mathrm{33\%}\). Time off scheduling: Managers \(\mathrm{6\%}\), Salaried employees \(\mathrm{7\%}\), Hourly employees \(\mathrm{11\%}\).- Calculations Estimations:
Managers have \(\mathrm{21\%}\) (telecommute, lowest) and \(\mathrm{6\%}\) (time off scheduling, lowest). - Comparison to Answer Choices:
Managers are the lowest in both measures, so the answer is Managers.
- Calculations Estimations:
FINAL ANSWER Blank 2: Managers
Summary
For both blanks, 'Managers' is the correct answer. They are most likely to change their schedule (\(\mathrm{82\%}\)) but least likely to telecommute (\(\mathrm{21\%}\)) and least likely to use part-time (time off) scheduling (\(\mathrm{6\%}\)), according to the data.
Question Independence Analysis
The two questions are independent; answering one does not affect the other since they ask about different flexibility practices (changing schedule vs. telecommuting/part-time).