Notes: CORPORATE REPUTATION

Monday, 13 September 2004

CORPORATE REPUTATION

CORPORATE REPUTATION INDICES (13-09-04)

Job Advt. Click-Rate (Job Advt. Wise)

= {No. of "Apply Online" clicks against a given Advt{No. of Alerts sent against a given Advt}}

Overall Corporate Click-Rate [Corporate Wise]

= {\sum {Individual job-advt. wise clicks (Total){Total No. of Alerts sent against all job-advts. (for a given Corporate)}}

Feedback Rate

= {No. of feedback clicks (made by an HR mgr) by a company{No. of Resumes delivered (so far) to a company}}

Corporate Popularity Index

= {No. of Votes polled by a Corporate{Total no. of votes CAST by all jobseekers}}

CORPORATE REPUTATION (09-09-04)

How Good (or Bad) is your job-advt.?

How does it compare with job-advts. drafted by other Companies, for the same FUNCTION?

Function: Sales
No. of Job Advts Processed: 15263
Y-axis: No. of Job Advts
X-axis: Percentile Score (or Raw Score)
A curve resembling a normal distribution is shown.

A vertical bar is shown at a Percentile Score of 25, marked as: "Job Advt. No. by XYZ Company".

Maybe we should allow only the concerned Advertiser (Company) to view this graph.

CORPORATE REPUTATION (06-09-04)

[Table with 4 columns for data, A, B, C, D]

Sr.	Date	Advt. Serial No. (Ref. No)	Position/Title	A: No. of Alerts Sent against this Ad	B: No. of Apply Online Clicks against this Ad	C: Cumulative Alerts (Till date)	D: Cumulative No. of Clicks
				a_1	b_1	c_1	d_1
				a_2	b_2	c_2	d_2
				a_3	b_3	c_3	d_3
Total				\sum a	\sum b

c_2 = a_1 + a_2
d_2 = b_1 + b_2
c_3 = a_1 + a_2 + a_3
d_3 = b_1 + b_2 + b_3

Response Index

Job-Advt-Wise:

{b_1}{a_1}, {b_2}{a_2}, {b_3}{a_3}, {etc.}

Composite Index (for all job-advts processed so far)

= {\sum b}{\sum a}

Composite Cumu. Index

{d_2}{c_2}, {d_3}{c_3}, {d_4}{c_4}, {etc.}

Reputation - Corporates (13-10-04)

A Company's reputation amongst jobseekers will depend upon

Does this job advertiser give any "feedback" at all, to candidates applying for jobs?
If yes, then,

how "fast" does he give such feedback?

Corporate: ABC
Position on: Jan 2006
Total Ads:
Total Response: (Apply Online)
Total Feedback:

Y-axis	Percentage of Applicants Receiving Feedback
X-axis	No. of Days within which "Feedback" sent to Applicants

The curve is shown resembling a normal distribution.
The Y-axis shows 10%, 20%, 30%, 40%, 50%.
The X-axis shows days: 2, 3, 4, 5, 6, 7, ..., 15 Days.

A look at this graph will tell a candidate,

"If I apply to the company, in how many days can I expect to receive a feedback?"

Corporate = XYZ

Y-axis: Percentage of Job-Advt Released
X-axis: 0, 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%
Curve 1 (Solid line): Resembles a normal distribution, labeled "a poor performance" on the left peak.
Curve 2 (Dashed line): Skewed right, labeled "a better performance" on the right tail.

Average Response Index

{Total "Feedback" clicks (cumu){Total "Resumes" received (cumu)}} \times 100\%

Explanation

A Recruitment manager may not send same percentage of "feedback" to each & every job ad response.

In one advt: For some ads, he may receive 100 resumes & give feedback to 30. (So Response Index = {30}{100} = 30\%)
In another advt: he may receive 50 resumes & give feedback to 15. (So Response Index = {15}{50} = 30\%)
And in still another advt: he may receive 200 resumes & give feedback to 50. (So Response Index = {50}{200} = 25\%)

Employers' Corner

A list of all job-advts released on jobsites (chrono)

\left[ {Incl.} = \begin{cases} {No. of job-alerts sent against each} {No. of Resumes received} \end{cases} \right]

Click to reveal

List of candidates who applied against each job-advt. (along with function/raw score/percentile score)

Click to reveal

Resume of any particular candidate (Imagebuilder)
\left. \begin{array}{l} {Function Profile} {Salary Profiles} {Design} {Tenure} {Population Profiles} \end{array} \right\} \quad {"Paid" (subscription) Service}
IP addresses of 6^{{th}} I-WAY Cybercafes?
5^{{th}} Cum Ad (Phase II) {Ad-Compose (Phase I)}
Job-Blasting
DCA CD - 6.3 {L} Company data
Names/email IDs of HR managers