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Agree...And Then Stick to the Agreement

Posted by Mike Brennan on Oct 2, 2008 12:10:36 PM

In a Consultant Corner post last month (see HR: Importance vs. Influence), my top-flight colleague, Suzanne Rumsey leveraged a recent survey from McKinsey & Co to demonstrate HR’s perceived lack of alignment with the businesses they support.  She highlights that line managers who participated in the study, much more than HR participants, agree that:

1.       HR lacks capability to develop talent strategies aligned with business objectives

2.       That HR is not held accountable for success or failure of talent management initiatives, and

3.       That talent management is viewed solely as HR's responsibility.

When I hear about alignment and ownership from HR clients of ours, I propose they use service level agreements (SLAs) to address them.  SLAs serve as anchors to the performance consulting models HR and T&D groups must employ to better support the needs of the business.  The purpose of these agreements is to require HR to work with its business customers to define their desired business and workforce outcomes and then what programs and services will be delivered to achieve them. 

To write an effective SLA and ensure it’s used to perpetuate alignment, I recommend combining it with your intelligence strategy.  Specifically, I recommend using SLAs to facilitate the 3 types of measurement needed not only to establish alignment and accountability, but to drive ongoing adjustments and improvements to the programs and services in-scope.

Use measurement to drive focus and accountability.  The SLA has an integral role to play in 3 types of measurement.  The first is predictive measurement, which is meant to drive alignment between HR / T&D investments and the needs of the business expressed, where possible, to KPIs important to line managers.  The KPIs documented on the SLA should establish the causal chain between the services being provided and workforce performance as well as establish service quality and accountability goals for both HR and line managers to meet.  In the case of talent management, these KPIs are typically tied to effectiveness in the form of workforce productivity, competencies, bench strength, retention, mobility, etc.  They may also include measures of HR service quality (e.g., our staffing group produces high-quality candidates) and efficiency (e.g., time-to-fill).

The second type is in-process measurement. Its purpose is to validate that a program or service is believed to be achieving its desired business results as measured through the KPIs identified on the SLA. In-process measurement may combine a mix of transactional data collected through HR systems (e.g., time-to-fill, participation in new product training) and survey instruments to assess whether or not HR services and programs are making the desired impact on the target audience, and in turn, the organization.  HR should use in-process measurement to make periodic/continual improvements to their services and programs.

The third and final type of measurement that leverages an SLA is retrospective measurement, which is meant to assess desired business impact.  This may or may not include calculation of ROI.  The assumption here is that enough time has passed and/or enough employees have been touched by the program or resource.  Retrospective measurement builds on data captured through predictive and in-process measurement by integrating data captured through other systems (e.g., point-of-sales, IT help ticket system, CRM) to demonstrate causality and ROI.  With sufficient data and analysis, the outcomes of retrospective measurement can be used to feed predictive measurement through scenario planning and analytics. 

My advice to those considering performance consulting models that leverage SLAs - start small and keep the language simple.  I also recommend engaging the right stakeholders.

My request to those who read this post - please share your thoughts…



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Oct 4, 2008 4:09 PM Guest Lexy Martin  says:

This is brilliant and I will share. What I have in my mind's eye from reading this is the need to establish an analytical framework (likely in the form of a repository) that collects predictive measures based on the needs of the business and the associated KPIs; in-process measures from transactional systems that are periodic; and measures from what we call "post reviews" that we do on technology implementations or other program initiatives. From that repository then, the organization can tap just about any metric to make more informed decisions. Thanks for sharing.

Oct 7, 2008 1:24 PM Joanne Bintliff-Ritchie Joanne Bintliff-Ritchie    says:

Mike, you are right on with your recommendations.  However, we find that for most organizations there are several barriers to be overcome to establish the model you lay out. A lack of analytic competency within HR, no electronic access to the necessary underlying data - you'd be surprised what is still kept only on paper, no measurment tool which can integrate and manipulate the underlying data to produce and present the measures - the data is spread over multiple sources from ERPs to spreadsheets, and no understanding of what measures within these catagories are truly relevant to their business and talent strategy. I would add a category to reflect the Strategic Measures that tie human capital directly to the business strategy and reflect the 1-3 key people dependencies within the strategy. An analytic roadmap or framework (as Lexy refers to it) can outline what steps need to be taken to address these barriers and build the analytic capability.  A final step is to integrate the human capital analytics into the organization's overall business performance management framework so it integrates into the core business planning and reporting cycles.

Oct 14, 2008 12:51 AM Mike Brennan Mike Brennan    says in response to Joanne Bintliff-Ritchie:

Great points, Joanne.  And I've grown immune to being surprised at the information still tracked on paper!

 

One thing I'd like to point out with the measurement described above framework above is that it can actually be used to drive automation.  Specifically, I had one client use anecdotal predictive measurement to forecast a benefit of increased sales by adjusting how high- and low-performaing hourly sales associates are scheduled in a retail environment.  She even mocked up some dashboards to do it.

 

 

After getting some key operational executives excited by the premise [and the possibilities] of this type of analysis, they asked when they could start getting this type of information on a regular basis.

She responded that most of the necessary information related to scheduling and individual sales performance was not collected in an automated way, so they could not start any time soon.  This both made her business case for workforce intelligence and started her down the path of figuring out what data she should automate the collection of first - there is plenty of additional data to follow.

Oct 14, 2008 1:00 AM Mike Brennan Mike Brennan    says in response to Lexy Martin:

Thanks so much for taking this a step further through your visualization, Lexy.  The type of repository you describe is exactly what I had in mind.

 

And thanks for pointing out the concept of "post reviews," which - in my opinion - should be limited to those "program initiatives" that necessitate a significant investment in human capital.  If one is going to go to the trouble of calculating the ROI of something like a training initiative by isolating its impact on the top or bottom line, it had better be worth the trouble.  By worth the trouble, I mean an initiative that necessitates significant investment of time and/or money (e.g., a large-scale sales training initiative that can be piloted and studied before rolling it out nationally).