How to find the best talent on LinkedIn | Talent Connect 2017
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When you search LinkedIn, are you finding the best people, or just those who are easiest to find? Would you know the difference? Attend this session to learn how to get maximum ROI from your LinkedIn license and fish in the deep end of the talent pool.
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How to find the best talent on LinkedIn | Talent Connect 2017
- 1. How to Find the Best Talent on LinkedIn Glen Cathey Global SVP, Digital Strategy and Innovation Randstad
- 2. who is this guy? • 20 years in recruitment • SVP Global Strategy & Innovation @ Randstad • Speaker @ 40+ global events • This is #10 @ LinkedIn Talent Connect! • https://youtu.be/5-O4R-rvvNk • https://www.slideshare.net/glencathey/ presentations • www.booleanblackbelt.com
- 4. With great power comes great responsibility
- 7. Do your search behaviors help you achieve your goals?
- 8. If you do not know how to ask the right question, you discover nothing. W. Edwards Deming Engineer, statistician, professor, author, lecturer, and management consultant
- 9. If you all have LinkedIn Recruiter, what is your competitive advantage? If people are easy for you to find, are they not also easy for others to find? How many profiles do you typically review per search? Are you competing for the same 5-10% of the talent on LinkedIn?
- 10. I cannot teach anybody anything. I can only make them think. - Aristotle
- 12. Kick imge
- 13. #1
- 20. If it's in a word, or it's in a look, you can't get rid of the Babadook.
- 21. #2
- 22. understand search • Why do the results come back they way they do? • Who's at the top? • Who's at the bottom? • Where are the best candidates? • What's a good number of search results? • Dark matter
- 24. dark matter
- 25. #3
- 28. For every term you're thinking of searching for, ask yourself these 2 questions: 1. Would all qualified people mention it? 2. If they would, how else could they mention it
- 29. "Software engineer" AND Hadoop ("Software engineer" OR developer OR programmer) AND (Hadoop OR HDFS OR Hive OR YARN OR Pig OR Cloudera OR HBase OR Hortonworks OR mapr OR "Map Reduce" OR MapReduce)
- 31. learn from your results search 1 • "Mechatronics Engineer" Search x • engineer (mechatronics OR automated OR automating OR automation OR robot OR robotics OR robots) (actuator OR actuators OR controls OR controllers OR sensors OR microcontroller OR microcontroller OR potentiometers OR motion OR drives OR servo) (electrical OR electronics OR mechanical OR "electro-mechanical" OR SCADA OR PLC) (equipment OR system OR systems OR hardware OR manufacturing OR industrial)
- 32. (improved OR increased OR achieved OR promoted OR exceed OR exceeded OR highest OR most OR top OR best OR quota OR presidents OR achieved OR recognized OR award OR awarded OR awards OR honor OR honors OR "club trip" OR "incentive trip" OR "president's club" OR "presidents club" OR "of the year" OR "of the quarter" OR platinum OR "winner's circle" OR ranked OR won OR winner)
- 35. processing results • Large volumes of results • Recurring profiles? • Use filters in a mutually exclusive manner • Hide previously viewed • Start from the bottom • NOT
- 36. "project manager" EMC "project manager" ("data center" OR "data centers") (move OR moves OR consolidations OR migrated OR migrations OR migrating) (storage OR SAN) -EMC strategic exclusion
- 37. Financial Analyst Job Qualifications • Bachelor's degree in Accounting, Finance or Economics strongly preferred • CPA or MBA preferred • 7+ years of work experience • Leadership experience a plus Functional Qualifications • Ability to perform advanced financial analysis, forecasting and modeling, such as pricing sensitivity analysis • Strong Excel skills to include pivot tables, charting, formulas and conditional formatting • Financial services industry experience or knowledge a plus strategic exclusion
- 38. Searching for BQ's and PQ's: (model OR modeling OR models OR modeled) (forecast OR forecasting OR forecasts OR forecasted) (analysis OR analyzed OR analyses) Excel (accounting OR finance OR economics) AND (CPA OR "C.P.A." OR "Certified Public Accountant" OR MBA OR "M.B.A.") AND (lead OR led OR supervise OR supervised) AND (sensitivity OR pricing) strategic exclusion
- 39. Systematically eliminate PQ's: (model OR modeling OR models OR modeled) (forecast OR forecasting OR forecasts OR forecasted) (analysis OR analyzed OR analyses) Excel (accounting OR finance OR economics) AND (CPA OR "C.P.A." OR "Certified Public Accountant" OR MBA OR "M.B.A.") AND (lead OR led OR supervise OR supervised) AND NOT (sensitivity OR pricing) strategic exclusion
- 40. Systematically eliminate PQ's: (model OR modeling OR models OR modeled) (forecast OR forecasting OR forecasts OR forecasted) (analysis OR analyzed OR analyses) Excel (accounting OR finance OR economics) AND NOT (CPA OR "C.P.A." OR "Certified Public Accountant" OR MBA OR "M.B.A.") AND (lead OR led OR supervise OR supervised) AND (sensitivity OR pricing) strategic exclusion
- 41. #4 McKinsey's research shows that gender-diverse companies are 15% more likely to outperform their peers and ethnically-diverse companies are 35% more likely to do the same.
- 42. Aaliyah OR Abby OR Abigail OR Addison OR Adriana OR Adrianna OR Adrienne OR Aimee OR Alana OR Alejandra OR Alexa OR Alexandra OR Alexandria OR Alexia OR Alexis OR Alice OR Alicia OR Alisha OR Alison OR Allison OR Alondra OR Alyssa OR Amanda OR Amber OR Amelia OR Amy OR Ana OR Andrea OR Angel OR Angela OR Angelica OR Angelina OR Angie OR Anita OR Ann OR Anna OR Anne OR Annette OR Annie OR April OR Ariana OR Arianna OR Ariel OR Arlene OR Ashlee OR Ashley OR Ashlyn OR Aubrey OR Audrey OR Autumn OR Ava OR Avery OR Bailey OR Barbara OR Becky OR Belinda OR Beth OR Bethany OR Betty OR Beverly OR Bianca OR Bonnie OR Brandi OR Brandy OR Breanna OR Brenda OR Briana OR Brianna OR Bridget OR Brittany OR Brittney OR Brooke OR Brooklyn OR Caitlin OR Caitlyn OR Camila OR Candace OR Candice OR Carla OR Carly OR Carmen OR Carol OR Carole OR Caroline OR Carolyn OR Carrie OR Casey OR Cassandra OR Cassidy OR Cassie OR Catherine OR Cathy OR Charlene OR Charlotte OR Chelsea OR Chelsey OR Cheryl OR Cheyenne OR Chloe OR Christie OR Christina OR Christine OR Christy OR Cindy OR Claire OR Claudia OR Colleen OR Connie OR Constance OR Courtney OR Cristina OR Crystal OR Cynthia OR Daisy OR Dana OR Daniela OR Danielle OR Darlene OR Dawn OR Deanna OR Debbie OR Deborah OR Debra OR Delaney OR Delores OR Denise OR Desiree OR Destiny OR Diamond OR Diana OR Diane OR Dianne OR Dolores OR Dominique OR Donna OR Doreen OR Doris OR Dorothy OR Ebony OR Eileen OR Elaine OR Elizabeth OR Ella OR Ellen OR Ellie OR Emily OR Emma OR Erica OR Erika OR Erin OR Eva OR Evelyn OR Faith OR Felicia OR Frances OR Gabriela OR Gabriella OR Gabrielle OR Gail OR Gayle OR Genesis OR Geraldine OR Gianna OR Gina OR Giselle OR Glenda OR Gloria OR Grace OR Gracie OR Gwendolyn OR Hailey OR Haley OR Hannah OR Hayley OR Heather OR Heidi OR Helen OR Holly OR Hope OR Irene OR Isabel OR Isabella OR Isabelle OR Jackie OR Jaclyn OR Jacqueline OR Jada OR Jade OR Jaime OR Jamie OR Jan OR Jane OR Janet OR Janice OR Janis OR Jasmin OR Jasmine OR Jayla OR Jazmin OR Jean OR Jeanette OR Jeanne OR Jenna OR Jennifer OR Jenny OR Jessica OR Jill OR Jillian OR Jo OR Joan OR Joann OR Joanna OR Joanne OR Jocelyn OR Jodi OR Jody OR Jordan OR Jordyn OR Josephine OR Joy OR Joyce OR Juanita OR Judith OR Judy OR Julia OR Juliana OR Julie OR June OR Kaitlin OR Kaitlyn OR Kara OR Karen OR Kari OR Karina OR Karla OR Kate OR Katelyn OR Katherine OR Kathleen OR Kathryn OR Kathy OR Katie OR Katrina OR Kay OR Kayla OR Kaylee OR Kelli OR Kellie OR Kelly OR Kelsey OR Kendall OR Kendra OR Kennedy OR Kerri OR Kerry OR Kiara OR Kim OR Kimberly OR Kirsten OR Krista OR Kristen OR Kristi OR Kristie OR Kristin OR Kristina OR Kristine OR Kristy OR Krystal OR Kylee OR Kylie OR Lacey OR Latasha OR Latoya OR Laura OR Lauren OR Laurie OR Layla OR Leah OR Leslie OR Liliana OR Lillian OR Lilly OR Lily OR Linda OR Lindsay OR Lindsey OR Lisa OR Lois OR Loretta OR Lori OR Lorraine OR Louise OR Lucy OR Lydia OR Lynda OR Lynn OR Lynne OR Mackenzie OR Madeline OR Madelyn OR Madison OR Makayla OR Makenzie OR Mallory OR Mandy OR Marcia OR Margaret OR Maria OR Mariah OR Marianne OR Marie OR Marilyn OR Marisa OR Marissa OR Marjorie OR Marlene OR Marsha OR Martha OR Mary OR Maureen OR Maya OR Mckenzie OR Meagan OR Megan OR Meghan OR Melanie OR Melinda OR Melissa OR Melody OR Mercedes OR Meredith OR Mia OR Michaela OR Michele OR Michelle OR Mikayla OR Mildred OR Mindy OR Miranda OR Misty OR Molly OR Monica OR Monique OR Morgan OR Mya OR Nancy OR Naomi OR Natalia OR Natalie OR Natasha OR Nevaeh OR Nichole OR Nicole OR Nina OR Norma OR Olivia OR Paige OR Pam OR Pamela OR Patricia OR Patsy OR Patti OR Patty OR Paula OR Payton OR Peggy OR Penny OR Peyton OR Phyllis OR Priscilla OR Rachael OR Rachel OR Raven OR Reagan OR Rebecca OR Rebekah OR Regina OR Renee OR Rhonda OR Riley OR Rita OR Roberta OR Robin OR Robyn OR Rosa OR Rose OR Rosemary OR Roxanne OR Ruby OR Ruth OR Rylee OR Sabrina OR Sadie OR Sally OR Samantha OR Sandra OR Sandy OR Sara OR Sarah OR Savannah OR Selena OR Serenity OR Shannon OR Shari OR Sharon OR Shawna OR Sheena OR Sheila OR Shelby OR Shelia OR Shelley OR Shelly OR Sheri OR Sherri OR Sherry OR Sheryl OR Shirley OR Sierra OR Skylar OR Sofia OR Sonia OR Sonya OR Sophia OR Sophie OR Stacey OR Stacie OR Stacy OR Stefanie OR Stephanie OR Sue OR Summer OR Susan OR Suzanne OR Sydney OR Sylvia OR Tabitha OR Tamara OR Tami OR Tammie OR Tammy OR Tanya OR Tara OR Tasha OR Taylor OR Teresa OR Terri OR Terry OR Theresa OR Tiffany OR Tina OR Toni OR Tonya OR Tracey OR Traci OR Tracie OR Tracy OR Tricia OR Trinity OR Valeria OR Valerie OR Vanessa OR Veronica OR Vicki OR Vickie OR Vicky OR Victoria OR Virginia OR Vivian OR Wanda OR Wendy OR Whitney OR Yesenia OR Yolanda OR Yvette OR Yvonne OR Zoe Learn more: http://bit.ly/2wDfRxQ
- 44. (Lǐ OR Zhāng OR Liú OR Chén OR Yáng OR Huáng OR Zhào OR Wú OR Zhōu OR Xú OR Sūn OR Mǎ OR Zhū OR Hú OR Guō OR Hé OR Gāo OR Lín OR Luó OR Tanaka OR Watanabe OR Itō OR Yamamoto OR Nakamura OR Kobayashi OR Saitō OR Katō OR Yoshida OR Yamada OR Sasaki OR Yamaguchi OR Matsumoto OR Inoue OR Kimura OR Hayashi OR Shimizu OR Yamazaki OR Yamasaki OR Mori OR Abe OR Ikeda OR Hashimoto OR Yamashita OR Ishikawa OR Nakajima OR Nakashima OR Maeda OR Fujita OR Ogawa OR Okada OR Gotō OR Hasegawa OR Murakami OR Kondō OR Ishii OR Sakamoto OR Endō OR Aoki OR Fujii OR Nishimura OR Fukuda OR Ōta OR Miura OR Fujiwara OR Okamoto OR Matsuda OR Nakagawa OR Nakano OR Lee OR Yi OR Rhee OR Ree OR Rey OR Rhie OR Park OR Pak OR Bark OR Pack OR Pak OR Bak OR Baek OR Paek OR Bac OR Chung OR Jung OR Joung OR Chong OR Cheong OR Choung OR Choi OR Che OR Choy OR Chey OR Cho OR Joe OR Joh OR Jou OR Kang OR Kahng OR Kwang OR Khang OR Yoo OR You OR Ryu OR Yoon OR Youn OR Yune OR Yeun OR Chang OR Jahng OR Jhang OR Gang OR Jeung OR Jang OR Zang OR Shin OR Shinn OR Sheen OR Chin OR Seen OR Lim OR Yim OR Rim OR Leem OR Rhim OR Reem OR Rym OR Lym OR Hahn OR Hann OR Oh OR Oe OR Au OR Suh OR Su OR Sur OR So OR Seu OR Jun OR Chun OR Chon OR Jeun OR Cheon OR Chen OR Jeon OR Kwon OR Kweon OR Kwun OR Gwon OR Whang OR Hoang OR Whoang OR Whoan OR Soung OR Sung OR Ahn OR Ann OR Aan OR Houng OR Hyong OR Ryang OR Yaung OR Lyang OR Yang OR Ko OR Koh OR Goh OR Kho OR Gho OR Kor OR Moon OR Sohn OR Shon OR Soon OR Soun OR Bai OR Bea OR Pae OR Pai OR Baik OR Back OR Beck OR Paik OR Paek OR Beak OR Baek OR Pak OR Bak OR Pack OR Hur OR Huh OR Her OR Hu OR Ho OR Noh OR Roh OR Ro OR Rho OR Nho OR Nahm OR Nham OR Narm OR Shim OR Shen OR Shum OR Seem OR Sheem OR Shimn OR Sihm OR Joo OR Chu OR Chuu OR Choo OR Jou OR Zoo OR Hah OR Har OR Sung OR Soung OR Seung OR Song OR Char OR Cha OR Chah OR Tchah OR Tcha OR Chaa OR Woo OR Wu OR Ou OR Wo OR Uh OR Ra OR Nah OR La OR Rha OR Rah OR Chin OR Jean OR Gin OR Minn OR Jee OR Ch OR Gi OR Chee OR Gee OR Ji OR Jhi OR Um OR Eum OR Uhm OR Aum OR Oum OR Ohm OR Byun OR Byon OR Pyun OR Byoun OR Pyon OR Weon OR Woon OR Wone OR Wun OR One OR Pang OR Bhang OR Bahng OR Pahng OR Chai OR Tchai OR Che OR Chea OR Chun OR Chon OR Chen OR Choun OR Jeon OR Jhon OR Jh'on OR Jhoun OR Jhun OR Jheon) (“Alabama A&M University” OR “Alabama State University” OR “Albany State University” OR “Alcorn State University” OR “Allen University” OR “University of Arkansas at Pine Bluff” OR “Arkansas Baptist College” OR “Barber-Scotia College” OR “Benedict College” OR “Bennett College” OR “Bethune-Cookman University” OR “Bishop State Community College” OR “Bluefield State College” OR “Bowie State University” OR “Central State University” OR “Cheyney University of Pennsylvania” OR “Claflin University” OR “Clark Atlanta University” OR “Clinton Junior College” OR “Coahoma Community College” OR “Concordia College, Selma” OR “Coppin State University” OR “Delaware State University” OR “Denmark Technical College” OR “Dillard University” OR “University of the District of Columbia” OR “Edward Waters College” OR “Elizabeth City State University” OR “Fayetteville State University” OR “Fisk University” OR “Florida A&M University” OR “Florida Memorial University” OR “Fort Valley State University” OR “Gadsden State Community College” OR “Grambling State University” OR “Hampton University” OR “Harris-Stowe State University” OR “Hinds Community College at Utica” OR “Howard University” OR “Huston-Tillotson University” OR “Interdenominational Theological Center” OR “J. F. Drake State Technical College” OR “Jackson State University” OR “Jarvis Christian College” OR “Johnson C. Smith University” OR “Kentucky State University” OR “Knoxville College” OR “Lane College” OR “Langston University” OR “Lawson State Community College” OR “LeMoyne- Owen College” OR “Lewis College of Business” OR “Lincoln University” OR “Lincoln University of Missouri” OR “Livingstone College” OR “University of Maryland Eastern Shore” OR “Meharry Medical College” OR “Miles College” OR “Mississippi Valley State University” OR “Morehouse College” OR “Morehouse School of Medicine” OR “Morgan State University” OR “Morris Brown College” OR “Morris College” OR “Norfolk State University” OR “North Carolina A&T State University” OR “North Carolina Central University” OR “Oakwood University” OR “Paine College” OR “Paul Quinn College” OR “Philander Smith College” OR “Prairie View A&M University” OR “Rust College” OR “Saint Paul’s College” OR “Savannah State University” OR “Selma University” OR “Shaw University” OR “Shorter College” OR “Shelton State Community College” OR “South Carolina State University” OR “Southern University at New Orleans” OR “Southern University at Shreveport” OR “Southern University and A&M College” OR “Southwestern Christian College” OR “Spelman College” OR “St. Augustine’s College” OR “St. Philip’s College” OR “Stillman College” OR “Talladega College” OR “Tennessee State University” OR “Texas College” OR “Texas Southern University” OR “Tougaloo College” OR “Trenholm State Technical College” OR “Tuskegee University” OR “University of the Virgin Islands” OR “Virginia State University” OR “Virginia Union University” OR “Virginia University of Lynchburg” OR “Voorhees College” OR “West Virginia State University” OR “Wilberforce University” OR “Wiley College” OR “Winston- Salem State University” OR “Xavier University of Louisiana”)
- 46. #5
- 47. Why don't you have a 90% InMail response rate? 90% of global professionals want to hear from a recruiter: http://bit.ly/2wbwvQx
- 49. network and elicit referrals a study using Facebook's entire network yielded an average of 3.74 "degrees of separation"
- 51. Key Takeaways • Where are the best candidates? • What do the best people look like? • Could your searches be eliminating some of the best people? • Would all of the best people mention your search terms? • How can you learn from results? • How can you leverage your hiring managers' and employee networks? 1. Don't judge 2. Understand search 3. Be methodical - use specific search and results processing tactics in support of your strategy 4. Seek diversity 5. Understand people 6. Don't just pitch jobs – network & elicit referrals! Key Questions If you haven't already, watch this video from Talent Connect 2014 on advanced LinkedIn search: https://youtu.be/5-O4R-rvvNk
Editor's Notes
- Data and Insights Meet Talent Intelligence Data + Instincts Easiest to find? Tree/fruit Fishing - lots of people fishing in the same small pool vs fishing the ocean
- 2013
- 500M+, 138M US alone
- Voltaire Uncle Ben Parker
- Number of search terms per search?
- Do your search behaviors help you achieve your goals? Includes reviewing results
- The ensō symbolizes absolute enlightenment
- I cannot teach anybody anything. I can only make them think.
- Question reality – what you think you know. What you see isn't reality
- Blue pill
- Brienne of Tarth or Arya Stark?
- What will the best talent on LinkedIn look like? Challenge your assumptions!
- What will the best talent on LinkedIn look like? Challenge your assumptions!
- If it's in a word, or it's in a look, You can't get rid of the Babadook. Stock up on worms
- Understand search. Samwell Tarley, restricted section @ the Citadel
- Why do the results come back they way they do? Who's at the top? Who's at the bottom? Where are the best candidates? What's a good number of search results? Dark matter
- Where will the best talent be in your search results? Could your searches be eliminating some of the best people?
- Haphazard – lacking any principle of organization. Unmethodical, arbitrary, slapdash, slipshod
- Slapdash - unsystematic
- Mama says
- Maximum inclusion
- Counteract dark matter
- Verbs as well as nouns
- Data mining
- Data mining
- Data mining
- Data mining
- Data mining
- 477
- Understand people. Who wants to be found? Who doesn't? Who isn't even thinking of being found? What would their profiles look like?
- Quality 2012
- Use your own employees to navigate through peers, friends, past coworkers…
- www.linkedin.com/glencathey | www.twitter.com/glencathey | www.glencathey.com | www.booleanblackbelt.com