Pilot Program Review – Goal 1

The Pilot Program

The pilot program is coming to an end. Grace has asked Marcus to review the data and determine whether the team achieved its goals: a 70% reduction in résumé screening time and a shift of at least 40% of recruiter time toward strategic tasks such as interviews and candidate engagement.

Goal 1

Reduction in résumé screening time

Marcus compares ATS reports and recruiter time logs before and after TalentSync AI was introduced. The tables below show the manual screening data and the AI-supported screening data.

74.7 hrs

Pre-AI total screening time

Total time spent screening 1,280 résumés using the manual process.

11.7 hrs

Post-AI total screening time

Total time spent screening the same 1,280 résumés after AI implementation.

3.5 mins

Pre-AI time per résumé

Average manual screening time per résumé across all roles.

0.5 mins

Post-AI time per résumé

Average AI-supported screening time per résumé across all roles.

Role	Resumes reviewed	Time per resume (mins)	Total screening time (hrs)
Software engineer	250	3.5	14.5
Data scientist	180	3.5	10.5
Product manager	200	3.5	11.7
Marketing specialist	220	3.5	12.8
HR generalist	190	3.5	11.2
Sales associate	240	3.5	14.0
Total	1,280	–	74.7 hrs

Pre-AI (Manual Process) Data

Role	Resumes reviewed	Time per resume (mins)	Total screening time (hrs)
Software engineer	250	0.5	2.1
Data scientist	180	0.5	1.5
Product manager	200	0.5	1.7
Marketing specialist	220	0.5	1.8
HR generalist	190	0.5	1.6
Sales associate	240	0.5	2.0
Total	1,280	–	11.7 hrs

Post-AI (TalentSync AI Screening) Data

GPT prompt

Markdown prompt for a GPT model

Marcus decides to use a GPT model to analyze the data, highlight important insights, and format the findings clearly.

You are a TA specialist and you are reviewing the success of implementing automated candidate screening into your ATS system with an AI tool. Analyze the following data set to determine if a 70% reduction in time was achieved, as well as any other insights that may be of interest. Please provide a table with any numerical insights shown, as well as a short 1-3 point summary after, highlighting the main insights. The table should include averages. Focus on highlighting the time reduction. ### Pre-AI (Manual Screening) Data: | Role | Resumes Reviewed | Time per Resume (mins) | Total Screening Time (hrs) | |———————|——————|————————|—————————-| | Software Engineer | 250 | 3.5 | 14.5 | | Data Scientist | 180 | 3.5 | 10.5 | | Product Manager | 200 | 3.5 | 11.7 | | Marketing Specialist | 220 | 3.5 | 12.8 | | HR Generalist | 190 | 3.5 | 11.2 | | Sales Associate | 240 | 3.5 | 14.0 | | Total | 1,280 | – | 74.7 hrs | ### Post-AI (TalentSync AI Screening) Data: | Role | Resumes Reviewed | Time per Resume (mins) | Total Screening Time (hrs) | |———————|——————|————————|—————————-| | Software Engineer | 250 | 0.5 | 2.1 | | Data Scientist | 180 | 0.5 | 1.5 | | Product Manager | 200 | 0.5 | 1.7 | | Marketing Specialist | 220 | 0.5 | 1.8 | | HR Generalist | 190 | 0.5 | 1.6 | | Sales Associate | 240 | 0.5 | 2.0 | | Total | 1,280 | – | 11.7 hrs |

GPT output

Table: Screening Time Analysis

The model highlights the change in screening time by role and shows that the average time reduction across roles is 85.68%.

Role	Pre-AI screening time (hrs)	Post-AI screening time (hrs)	Time reduction (%)
Software engineer	14.5	2.1	85.52%
Data scientist	10.5	1.5	85.71%
Product manager	11.7	1.7	85.47%
Marketing specialist	12.8	1.8	85.94%
HR generalist	11.2	1.6	85.71%
Sales associate	14.0	2.0	85.71%
Averages	12.45	1.78	85.68%

85.68%

Average reduction

Average reduction in screening time across all roles.

84.34%

Total reduction

Total screening hours reduced from 74.7 hours to 11.7 hours overall.

12.45 hrs

Average pre-AI per role

Average screening hours per role before AI support.

1.78 hrs

Average post-AI per role

Average screening hours per role after AI support.

Quiz

What are some of the key insights from this data?

Select all that apply.

On average, there was an 85.68% reduction in screening time across all roles, significantly exceeding the target of 70%.

This is correct because the averages row shows an 85.68% reduction, which is higher than the 70% target.

On average, there was an 85.68% increase in screening time across all roles, significantly missing the target of 70%.

This is not correct because the data shows a reduction, not an increase.

The total time spent on screening all résumés reduced from 12.45 hours (Pre-AI) to 1.78 hours (Post-AI).

This is not correct because 12.45 and 1.78 are the average screening hours per role, not the total time across all roles.

Screening times per résumé decreased drastically, from an average of 3.5 minutes per résumé (Pre-AI) to 0.5 minutes per résumé (Post-AI).

This is correct because the pre-AI and post-AI tables show 3.5 minutes and 0.5 minutes per résumé across roles.

Correct answers

On average, there was an 85.68% reduction in screening time across all roles, significantly exceeding the target of 70%.
Screening times per résumé decreased drastically, from an average of 3.5 minutes per résumé (Pre-AI) to 0.5 minutes per résumé (Post-AI).