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Diversity Sourcing Part II

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Information about Diversity Sourcing Part II
Education

Published on March 3, 2009

Author: kaykel

Source: slideshare.net

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BLITZ TRAINING

Overview and Goals Prospecting Blitz Process Tips / Best Practices To Prospecting For Diversity Prospecting Time…

Overview: This is a working lunch and interactive exercise. We will provide ideas and tips. Please feel free to share your tips and best practices too. Mission: To help enable the Team and guests to generate Diverse Candidate Pools by providing knowledge, tips, tools and dedicated time for sourcing. Goals: Harvest 3-5 resumes per staffing consultant. Walk away with something new to add to your sourcing arsenal. Overview, Mission and Goals

Overview:

This is a working lunch and interactive exercise.

We will provide ideas and tips. Please feel free to

share your tips and best practices too.

Mission:

To help enable the Team and guests to generate

Diverse Candidate Pools by providing knowledge, tips,

tools and dedicated time for sourcing.

Goals:

Harvest 3-5 resumes per staffing consultant.

Walk away with something new to add to your

sourcing arsenal.

 

GOOGLE www.google.com 32 keywords is your limit when using Google search engines. Yahoo www.yahoo.com No-limited Live www.live.com 150 Characters Exalead www.exalead.com No-Unlimited

GOOGLE www.google.com

32 keywords is your limit when using Google search engines.

Yahoo www.yahoo.com

No-limited

Live www.live.com

150 Characters

Exalead www.exalead.com

No-Unlimited

Meta-Search Engines are tools that search multiple search engines at once There are complicating issues that come with this as well. Each search engine uses slightly different stylec, meta-search tools have a hard time keeping up. Only a small subset of search engines support advanced search features like field search commands, most meta-tools do not map search strings with those commands. Some meta-tools are not particularly useful for all the types of advanced searches everyday. You should experiment with these tools occasionally. Meta – Search Engine

Meta-Search Engines are tools that search multiple search engines

at once There are complicating issues that come with this as well.

Each search engine uses slightly different stylec, meta-search

tools have a hard time keeping up. Only a small subset of search

engines support advanced search features like field search

commands, most meta-tools do not map search strings with those

commands. Some meta-tools are not particularly useful for all the

types of advanced searches everyday. You should experiment with

these tools occasionally.

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 intitle:resume | inurl:resume women| technology -jobs -careers intitle:resume | inurl:resume african american C++ -jobs -careers intitle:groups | inurl:groups resume african american C++ -jobs -careers intitle:groups | inurl:groups resume women C++ -jobs -careers intitle:resume | inurl:resume women | Engineer -jobs -careers

intitle:resume | inurl:resume women| technology -jobs -careers

intitle:resume | inurl:resume african american C++ -jobs -careers

intitle:groups | inurl:groups resume african american C++ -jobs -careers

intitle:groups | inurl:groups resume women C++ -jobs -careers

intitle:resume | inurl:resume women | Engineer -jobs -careers

AFFINITY GROUPS CAUCUS GROUPS intitle:resume | inurl:resume african american | OBAMA Engineer -jobs -careers intitle:resume | inurl:resume latin american | RICHARDSON Engineer -jobs -careers intitle:resume | inurl:resume women | CLINTON Engineer -jobs -careers intitle:resume | inurl:resume women | HILLARY CLINTON Engineer -jobs -careers

intitle:resume | inurl:resume african american | OBAMA Engineer -jobs -careers

intitle:resume | inurl:resume latin american | RICHARDSON Engineer -jobs -careers

intitle:resume | inurl:resume women | CLINTON Engineer -jobs -careers

intitle:resume | inurl:resume women | HILLARY CLINTON Engineer -jobs -careers

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 Social networks has become a common word with Web 2.0 and everyone is using this platform to network with one another Diversity social networks existed long before the networks that we know of today These are excellent platforms where you can promote and connect with minorities 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

Social networks has become a common word with Web 2.0 and

everyone is using this platform to network with one another

Diversity social networks existed long before the networks that we

know of today

These are excellent platforms where you can promote and connect

with minorities

PROFESSIONAL INDUSTRY ASSOCIATIONS This is a great resource that enables you to narrow down your talent by skills first and then diversity Almost every professional industry has affiliations that are broken down by diversity To find diversity organizations try: site:org (“african american” | black) “technology” site:org (“women”) “technology” site:org (“latin american” | hispanic) “technology”

This is a great resource that enables you to narrow down your talent

by skills first and then diversity

Almost every professional industry has affiliations that are broken

down by diversity

To find diversity organizations try:

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