How to Dissect TalentBin Data - Customer Success Webinar

Check out a presentation on TalentBin skill data.

Learn:

Which TalentBin crawled sites give us the most valuable skill data?
How do we use data to distinguish skills from interests?
How do we take skill information and turn it into high email response rates?

More here: http://support.talentbin.com/customer/portal/articles/1734123-webinar-1---%22how-to-dissect-talentbin-data%22

Transcript

1. “Creepy Crawlers” – How to Dissect TalentBin Data TalentBin Webinar #1 – Halloween Edition OCTOBER 31ST, 2014
2. 2 Career Builders The modern internet now lets us create professional profiles for everyone These implicit web resumes are more valuable than explicit resumes 1995 2003 2006 2008 Job Seekers Web resumes (everyone) More Candidates: Does not require active candidates (job seeking / career building) Higher Quality Data: More recent (daily updates) and more complete (skill and fit)
3. Look where the candidates actually *are*! 3 These engineers are interacting online, leaving professional information about themselves across the web. Social Networks Software Engineering Specific Design Specific Other Professional Sources Horizontal Professional Sources Vertical Discipline Sources Patents Mailing Lists Journals
4. 4 Software engineering specific sites Mailing Lists Github: Social Coding. SourceForge: Open source communities. Bitbucket: Social Coding. Kaggle: Data Science competitions. Ohloh: Open source contribution tracking. Grokbase: Software email list serve tracking. Working With Rails: Rails coder directory. RubyGems: Ruby Gem Contributor Tracker TapFame: Mobile developer directory. Apache Foundation: Open source list serves. Ruby.org: Email list serves. Stack Overflow: Q&A for Software engineers. Server Fault: Q&A for DevOps. Ask Ubuntu: Q&A for DevOps. Programmers: Theoretical Q&A software engineers Unix / Linux: Q&A for Unix & Linux Users Database Administrators: Q&A for DBAs InfoSec: Q&A for information security Software QA: Q&A for QA people. Code Review: Q&A for Code Review. Game Dev: Q&A for Game Developers. Django People: Community for Python Programmers. And 100s of other software engineering email list serves.
5. 5 TalentBin crawls the broadest set of general sites. Publications General Events Creative Facebook: Professional interests and resume. Twitter: Professional Bio, Tweets, Lists, Followership. Google Plus: Professional interests and resume. Quora: Q&A for professional and non-professional topics. About.me: Personal bios and social profiles. Slideshare: Professional presentations. Lanyrd: Professional conference attendance community. Meetup: Professional and non-professional meetup and user group attendance. Behance: Professional community for designers, UI, UX, art direction, etc. MobyGames: Directory of Credits for all video game contributors Dribbble: Professional community for designers, UI, UX, art direction. PubMed: Directory of scholarly bio papers (biostats, bioinformatics, biochem, etc.). US Patent Database: Patents and listed inventors and companies. Carbonmade: Professional designers, UI, UX portfolios. Coroflot: Professional designers, UI, UX portfolios Krop: Professional designers, UI, UX portfolios Forrst: Professional designers, UI, UX portfolios.
6. Dissecting TB Profile Data 6 Professional activity and personal interests make a profitable combination.
7. Dissecting TB Profiles – Skill Data Take advantage of TalentBin skill data to get an advantage over other recruiters. 1.  Once on a profile, go straight to the SKILLS section 2.  Scroll or search for the top 2-3 skills for the req 3.  Click into those skills to see where the data is coming from. Software sites? Social sites?
8. Dissecting TB Profiles – GitHub Skill Data Software development sites like GitHub and Stack will give you important insights into candidate skill levels. 4. Focus first on the software development sources like GitHub. Notice what the candidate is doing... Is he/she Contributing and/or Owning repositories or just watching?
9. Dissecting TB Profiles – Stack Skill Data Software development sites like GitHub and Stack will give you important insights into candidate skill levels. 4. Focus first on the software development sources like Stack Overflow. Notice what the candidate is doing… Is he/she asking/answering questions? Or just showing interest?
10. GitHub + Stack Activity – What does it mean? Different types of activity on GitHub and Stack imply different levels of skill and interest. GitHub Stack Overflow •  Watching •  Following •  Showing Interest •  Activity tagged •  Following •  Exhibiting interest •  Contributing (posting code) •  Asking questions •  Owning a repository (starting a project) •  Answering questions
11. TB Best Practice – Stage + Take notes! Taking 10 seconds to write a one-sentence note will save you time and headaches down the road. -  JS: Contributing on GHub. Answering/asking on Stack. -  PHP: Contributing/owning on GHub. Answering on Stack Is this candidate worth an email? •  Yes? Mark “Promising” •  No? Mark “Bad Fit” OR… Contact them RIGHT NOW via email while their skills are top of mind
12. Turning skill data into an awesome email Using your notes let’s plug in a personal sentence to your pre-made template to impress the candidate. Personalization Response Rates
13. TB Best Practice – Add a personal touch Top candidates get a lot of attention, make your messages stand out with a personal touch.
14. TB Best Practice – Monitor Activity + Follow Up Despite your best efforts candidates don’t always reply immediately so use TB tools to follow up. Add a candidate to Automated Follow Up Campaign with a single click.
15. Q&A
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