supercharging your recruiting function
TRANSCRIPT
Talent HR & Talent Strategy Workforce Productivity Talent Development
Strategy Strategy Development Strategy Clarification Growth & Sales Force Strategy
Organization Governance & Operating Model Organizing Restructuring M&A Support
Supercharging your Recruiting
Function
Predictive Analytics & Powerful New Insights from Recruiting Data
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 1
Our value proposition | the Axiom team provide a unique combination of
context rich analytical rigor with a strong focus on practicality and value
System Agnostic | we work with and extract data from all the major enterprise recruiting systems; our focus is on using what you already have
Integrated | we aggregate data from each of your enterprise systems (recruiting, performance mgmt., HRIS) but also from other external resources to create new data assets that add significant value
Data and System Agility | your data does not have to be perfect; we will find the value in what is captured and leverage it
Creative and Insight Rich | we use advance data visualization techniques to develop new insights, that are both actionable and address high priority problem areas
Practical and Capability Building| we focus on what can be accomplished with what is available and help develop internal capabilities within your organization
Results Focused and Principle Based | everything we do is in service of a core set of recruiting objectives and applied based on principles vs. hard and fast rules
Focused on Delivering
Uncompromising Value to Clients
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 2
Voice of the Market
Common “pain points” in Recruiting
“If our goal is to be a top tier company, we need top tier candidates”
“We have great technology but we’re not using it effectively”
“Certain technical roles critical to the enterprise
are taking too long to fill”
“There’s a lot of duplication and wasted
effort in the recruitment process”
“We have top tier candidates dropping out of the process along the way”
“Candidates are not having a good experience
- we have no systematic way to fix the problem”
“Recruiter performance varies widely but focusing on different roles makes it hard to measure”
“We’re not doing a good job of articulating value and what it’s like to work here”
Diagnostics & Reporting Recruiter Performance Process Execution
Common Challenges / Implications
Competition for Talent
Job ads not resonating with
qualified candidates
Assessments not used
effectively for screening
Process bottlenecks creating
candidate fatigue leading to
abandonment or loss to
competitors
No mechanism to manage
unqualified serial applicants
Wrong mix of work for
recruiters (i.e., a “one size fits
all” approach applied)
Unable to attract the right
candidates
Erosion of the brand on
social media
Value proposition lacks
differentiation for key roles
Not moving fast enough to
secure top talent
Lack of differentiation in
sourcing strategies for high
value roles (e.g., online
communities)
Recruiters lack the knowledge
or experience to address new
or specialist roles
Important expectations are
not set early on wasting time
on unsuitable candidates
We’re not tracking and
rewarding performance
appropriately (e.g., 1st yr.
turnover)
Lack of data and insights on
what’s not working
No measurement of ROI on
recruiting campaigns s we
know where to focus
No means of flagging
changes in market
competition that create
“talent pinch points” are not
well known
Upstream process
challenges remain
undiagnosed and often result
in downstream turnover
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 3
25% probability candidate remains with business. Performance
comparable to candidate profile A.
80% probability candidate will both perform
and stay if they accept an offer.
Use applicant data to predict retention and performance to aid selection
Characteristic Candidate Profile A Candidate Profile B
Education High School Diploma College Degree; Liberal Arts
Experience 3 to 5 years performing
similar work but in a different industry
No related experience but 1 to 2 years working for
a non-for-profit
Location Address listed within 5 miles
of planned work location More than 15 miles from
planned work location
Spelling Mistakes in
Resume 2 to 3 mistakes 1 mistake
PREDICTIVE MODEL
Business Context
Recruiting function seeking to increase the quality of candidates for a specific high volume role by filtering out applicants less likely to perform or stay with the business over the longer term.
Predictive Modeling Goal
Identify which applicants have an increased probability of both performing and staying with the organization for two years or more.
Summary of Approach
1. Develop the predictive model by extracting data from your applicant tracking system and data on retention and performance from HRIS
2. Test and validate the model on previously unseen data to confirm accuracy and usefulness
3. Apply the model to new candidates to identify which applicants are most likely to stay and perform*
College Degree
1 to 2 Yrs.
Within 20 Miles
1 Mistake
High School
3 to 5 Yrs.
Within 5 Miles
2 to 3 Mistakes
1
2
3
4
* Used as an additional input to the decision making process along with other data
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 4
Leverage existing networks and market demand data to find new sources of
talent while building a valued employment brand in key labor markets
How is our employment brand perceived in the market?
Are we looking for talent in the right market including online and offline communities?
Are we tailoring our approach to increase the success rate for critical roles?
Competition for Talent
Sample Analysis: Enhance Talent Sourcing
Types of Questions that Axiom can help answer…
Approach
Use existing enterprise data to determine competitors that will yield the best performers in each market where you operate
Find and source talent through your existing employee base, by accessing their connections and making them searchable by industry/region
Combine data with market intelligence on companies that hired similar talent in recently
Employ a simple outreach and communications set of tactics that give your recruiters a means to connect with candidates through existing networks
Dispel myths around what’s truly required to be successful
How candidates are connected to your
employees
Search for candidates by
market, industry and role
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 5
Tailored execution of core processes to address the most critical roles in a
differentiated way
How do our conversion rates compare to benchmarks at each phase of the funnel?
Are we applying a differentiated approach to talent where competition is high?
How well are we responding to the seasonality of candidate volume?
Process Execution Types of Questions that Axiom can help answer…
Sample Analysis: Funnel Phase Loss Ratio
Big increase in candidate loss ratio at interview stage.
Approach
Focus on the most critical roles for the business
Aggregate data across recruiters to understand extent to which variance is person vs. system driven
Use analytics to determine candidate loss rates at each funnel phase and how those rates are changing
Leverage 3rd party external sources to provide visibility to market demand for talent
Identify phase(s) of concern and target a random sample of candidates lost for an interview to determine root cause of change
Apply differentiated hiring strategies for critical roles to address identified issues
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 6
Evaluation of individual recruiter performance to identify execution vs.
process design challenges to improve talent quality and time to fill
Are we using the right mix of measures to evaluate recruiter performance?
Are any recruiters seeing a much higher loss ratio in any particular phase (comparing like roles)?
Are we appropriately segmenting roles by recruiter?
How do recruiters compare on candidate retention and candidate performance?
Recruiter Performance Types of Questions that Axiom can help answer…
Sample Analysis: Recruiter Performance Review Approach
Compare recruiters on loss ratio, total time to fill, quality of candidates, longevity of hires, etc.
Determine level of variance in types of roles filled across and for individual recruiters
Group recruiters based on similar work to increase efficiency and capability to serve “like roles”
Use diagnostic analyses to separate systemic issues from person driven performance challenges
Identify critical developmental needs, process gaps, improvement opportunities and performance expectations for key recruiting individuals Much higher loss
ratio vs. others in Application phase.
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 7
Build a reporting and diagnostic infrastructure that increases transparency
and more quickly highlights opportunity areas
What is the right mix of leading and lagging indicators to monitor overall process health?
How can we best integrate our process data with information upstream and downstream?
What are the informational needs of each stakeholder (e.g., hiring manager, candidate)?
Sample Analysis: An Integrated Perspective for Each Recruiting Process Stakeholder (e.g., Process Owner)
Diagnostics & Reporting Types of Questions that Axiom can help answer…
Approach
Combine role-based recruiting responsibilities with best practice to clarify the informational needs of each key stakeholder
Separate reporting from diagnostics to establish an information hierarchy
Starting with industry standards create a single organization-wide definition for each measure, then develop stakeholder scorecards
Propose optimal approach to implementation within existing systems (or leveraging cloud based resources during the transition to provide insights now)
Supplement with Axiom proprietary visualization tools that can access exports from client database(s)
Job Family Loss Ratios Growth / Shrinkage in Labor Pool
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 8
RECRUITING ANALYTICS CASE STUDY
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 9
Provided deep strategic insights around recruiting process inefficiencies for
a multi-national government contractor
Background
Approach
Key Findings and Results
Aggregated, cleaned, and normalized data sets from multiple client recruiting systems (i.e. Taleo)
Developed key hypotheses to structure the types of analyses and questions to answer
Built data models and conducted exploratory analyses to test quality and validity of data
Performed deep dive analysis on several key areas to expose sources of inefficiencies − Recruiting funnels by role segments and office locations
− Process flow trends by roles and segments
− Correlation and patterns around multiple applications
The volume of applications declined due to company’s inability to attract new unique applicants, pointing to weakness in brand and employee value proposition
Extremely high volumes of applications were not being screened properly by recruiters, especially for hard to fill roles due to lack of knowledge of role responsibilities
Recruiter staffing did not accommodate for seasonality affects in volume of applications
Recruiting Funnel Analysis
Process Flow Clustering by Roles
Multiple Application Correlations
Seasonality of Application Volumes
Company encountered declines in the number of applications, particularly for hard to fill STEM roles
Company leaders wanted to diagnose the potential causes as well as to expose inefficiencies within the recruiting process
CASE EXAMPLE OUTPUTS
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 10
Identified / addressed process design challenges causing a small percentage
of critical requisitions to take much longer to fill than others
Background
Approach
Key Findings and Results
Identified and addressed data quality issues using a variety of techniques (e.g., mean replacement, moderation of quality based outliers, job consolidation)
Cleanly separated management approval steps from HR responsibilities
Completed detailed assessment of the division of work (i.e., variance in role types handled by recruiter)
Used variance in recruiter performance to separate systemic from individual challenges
Diagnosed role specific issues and root causes through detailed analytics and select hiring manager interviews
Key job requisitions had been overly generalized
“Chronic applicants” were wasting valuable resources
Range of role compensation communicated too late
No access to the data diagnosing process delays and no accountability for addressing problems as they arise
New measurement/management approach to diagnose root cause of delays, highlight trends in system performance for early detection, clarified decision rights
Separation Management from HR Responsibilities
Variance in Time to Fill
Evaluate Success through Lens of Success
Health System employer of choice in region
Perception (unproven) that certain critical patient service roles were not being filled in a timely fashion
Complaints of ineffective collaboration between Hiring Managers and Recruiters
CASE EXAMPLE OUTPUTS
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 11
Accelerating organic growth in an Insurance Broker by sourcing non-
traditional sales talent in key market segments
Background
Approach
Key Findings and Results
CASE EXAMPLE OUTPUTS Hiring, onboarding and retaining high quality experienced
Producer talent was a critical growth strategy
Challenged to hire quality candidates because of non-competes, diminishing yield from historically reliable talent pools, and difficulties making attractive and sound offers
Quantified the economic opportunity
Developed role profiles and a competency model
Developed and validated custom assessments and interview tools for Producer roles
Identified non-traditional sources for talent using a persona-based approach to talent sourcing and labor market insight tools (Burning Glass)
Created an approach and process to source and select Producer talent
Developed a Producer orientation and onboarding program
Secured investment to build a centralized talent acquisition function supporting multiple divisions
Achieved organic hire targets for the initial Beta application
Addressed process gaps that were impeding effectiveness and efficiency in the process
Created a cultural shift in embracing outside industry hires
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 12
APPENDIX
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 13
How will your organization create value and compete?
Is your organization designed to support effective execution?
Do you have the right mix and quality of people, deployed in the right roles?
strategy
talent
organization
Organization Design & Restructuring
Governance & Operating Model
Business Process Improvement
HR strategy
Strategic Workforce Planning
Reward Strategy & Compensation Program Design
Succession Planning
Talent Assessment and Selection Systems
Employee Engagement & Value Proposition
Business Strategy Development
Leadership Alignment
Growth & Sales Effectiveness
M&A Integration
Our firm | we work with leaders to align strategy, organization design and
talent to deliver sustainable, profitable growth
Donncha Carroll ([email protected] or 312.202.3003) of Axiom Consulting Partners | Recruiting Analytics | 2015 14
Our firm | we have a rich and diversified client base across multiple industries
C o n s u m e r
I n s u r a n c e T e c h n o l o g y
E n g i n e e r i n g
E n e r g y H e a l t h
F i n a n c i a l
R e t a i l P r o f e s s i o n a l