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BLITZ TRAINING
Overview and Goals Prospecting Blitz Process Tips  / Best Practices To Prospecting For Diversity Prospecting Time…
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Overview, Mission and Goals
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Meta – Search Engine
Definition:  Power Search For  Resumes : Finds resumes, CV’s, Vitae, Bios, Profiles, etc Stronger the keywords , the better your search returns will be. Pick the best keyword that might be represented on majority of resumes. Your search strings will work on most search engines  so make sure to utilize as many as possible; the more search engines, the more candidates.  Be sure when you are writing your search string to conform to each search engines syntax. (Desktop Reference Guide at end of this training) Create a search strings that will yield a manageable number of returns; between 50 -100  is a good range.  50,000 hits may seem impressive but it’s not all that useful.  Don’t complicate your search ; make your strings effective and simple as possible.  No need to spend all your time creating complex strings, it can be inefficient and frustrating. Much faster to run  lots of simple searches for specifics. Avoid  keywords that have multiple meanings OR places them in context by tying them to other keywords that will help define what you want. Example: a search for Java AND people you’ll get those who like coffee. If you add the word script, it will become clearer. You could drop the Java and just search for script this will bring back people. **Important to identify elements that your candidate would have on their resume, cv, vitae, AND plug-in those elements in the form of keywords, into the search engines. Some Guides For  Power Searching Resumes Search Techniques
www.images.google.com
use terms such as: bio, profile, people, staff, team, engineer, software, tech
intitle:bio | intitle:profile | intitle:people | intitle:software engineer | intitle:technology | tech (women | african american)
 
software engineer (he | she) (women | african american) AT&T programming Specific Company
 
Looking for certain Ivy League scholars with  PhD in Computer Science (PhD | Computer Science) Harvard | Yale African | Women (PhD | Computer Science) Harvard | Yale  HE | SHE
 
String to use on Search Engines ,[object Object],[object Object],[object Object],[object Object],[object Object]
AFFINITY  GROUPS CAUCUS  GROUPS ,[object Object],[object Object],[object Object],[object Object]
UNIVERSITIES The first and easiest thought find diversity candidates is Historically Black Colleges & Universities http://www.smart.net/~pope/hbcu/hbculist.htm A. James Clark: School of Engineering http://www.wie.umd.edu/ Hispanic Association of Colleges and Universities (HACU) http://www.hacu.net/hacu/Default_EN.asp Hispanic/Latino – LANIC http://www.edexcelencia.org/pdf/publications/fact_sheets/Top25CollegesUniv-2008.pdf
SOCIAL NETWORKS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],  http://www.facebook.com/apps/application.php?id=2370484070   http://search.twitter.com http://search.twitter.com/search?q=women+technology + Sample: Sample: Women in Technology http://apps.facebook.com/advancedsearch/?engine=2 African-American Researchers
PROFESSIONAL INDUSTRY ASSOCIATIONS ,[object Object],[object Object],[object Object],[object Object],[object Object],site:org (“african american” | black) “technology” site:org (“women”) “technology” site:org (“latin american” | hispanic) “technology”

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Diversity Sourcing Part II

  • 2. Overview and Goals Prospecting Blitz Process Tips / Best Practices To Prospecting For Diversity Prospecting Time…
  • 3.
  • 4.  
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  • 7. Definition: Power Search For Resumes : Finds resumes, CV’s, Vitae, Bios, Profiles, etc Stronger the keywords , the better your search returns will be. Pick the best keyword that might be represented on majority of resumes. Your search strings will work on most search engines so make sure to utilize as many as possible; the more search engines, the more candidates. Be sure when you are writing your search string to conform to each search engines syntax. (Desktop Reference Guide at end of this training) Create a search strings that will yield a manageable number of returns; between 50 -100 is a good range. 50,000 hits may seem impressive but it’s not all that useful. Don’t complicate your search ; make your strings effective and simple as possible. No need to spend all your time creating complex strings, it can be inefficient and frustrating. Much faster to run lots of simple searches for specifics. Avoid keywords that have multiple meanings OR places them in context by tying them to other keywords that will help define what you want. Example: a search for Java AND people you’ll get those who like coffee. If you add the word script, it will become clearer. You could drop the Java and just search for script this will bring back people. **Important to identify elements that your candidate would have on their resume, cv, vitae, AND plug-in those elements in the form of keywords, into the search engines. Some Guides For Power Searching Resumes Search Techniques
  • 9. use terms such as: bio, profile, people, staff, team, engineer, software, tech
  • 10. intitle:bio | intitle:profile | intitle:people | intitle:software engineer | intitle:technology | tech (women | african american)
  • 11.  
  • 12. software engineer (he | she) (women | african american) AT&T programming Specific Company
  • 13.  
  • 14. Looking for certain Ivy League scholars with PhD in Computer Science (PhD | Computer Science) Harvard | Yale African | Women (PhD | Computer Science) Harvard | Yale HE | SHE
  • 15.  
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  • 18. UNIVERSITIES The first and easiest thought find diversity candidates is Historically Black Colleges & Universities http://www.smart.net/~pope/hbcu/hbculist.htm A. James Clark: School of Engineering http://www.wie.umd.edu/ Hispanic Association of Colleges and Universities (HACU) http://www.hacu.net/hacu/Default_EN.asp Hispanic/Latino – LANIC http://www.edexcelencia.org/pdf/publications/fact_sheets/Top25CollegesUniv-2008.pdf
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  • 20.