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Getting to the Bottom of ROI: What Are My Options?

Performitiv,
Performitiv
April 20, 2021
Apr 20, 2021 7:00 PM
CST

I talked last week about what to consider before you venture down the path of ROI:        

- Data Availability (Which data doesn't L&D own and what's the process to get it?)          

- Resources (Do you or your team have the time?)          

- Capabilities (How do the capabilities of your resources impact what options might be feasible?)

Next week, we'll start digging into to each approach for ROI, but let's start by highlighting what the most common approaches are first.  Before that though, it's important to understand the key factors which might impact the level of rigor available to you:

‍Soft ROI: Sometimes due to constraints with data, resources, or capabilities, we can only tell the story of 'return' with purely evaluation or activity data.  A soft return might be in the form of a presentation summarizing results around how effective a program was.  This could include data on activity, delivery effectiveness, knowledge gained, and even get into application and impact, but leveraging more generic indicators, potentially with qualitative data to support it.

‍Inferred ROI: This approach lies somewhere in the middle, leveraging both evaluation data and some business data.  This wont' be as extensive as a full study, but it should contain data to infer impact.  For example, comparing results from trained and untrained groups, trending results around the time of training, or looking at predictive outcomes from the evaluation, aligned with their actual business results.  We know there are a number of variables that impact any business outcome, so we're not telling a story of causation, rather of inferred impact.

‍Full ROI Study:  This is the most rigorous approach and aligns to the work done by Patti and Jack Phillips of the ROI Institute. This is where you have the need to demonstrate a financial return on your investment leveraging a process that runs from defining outcomes/expectations all the way through the measurement, analysis, and reporting.  Patti will be writing a guest blog post to go into more detail on this in a few weeks.

I hope this is helping to pull this amorphous concept into something more concrete; I look forward to sharing more information in the coming few weeks. Be Well and Happy Spring!

Chris LeBrun
Director, Professional Services

[Video] How Having the Right Data Can Change the Conversation to L&D Impact
In Lesson #2 from Performitiv's Next Gen Learning leaders video series, JetBlue's Lauren Kramer describes how learning leaders can communicate to business leaders and help them understand the "what, so what and now what" around their learning programs. Amy Graft from Siemens explains how knowing your data and understanding impact can get you the seat at the table you're looking for.
[Video] How Having the Right Data Can Change the Conversation to L&D Impact
In Lesson #2 from Performitiv's Next Gen Learning leaders video series, JetBlue's Lauren Kramer describes how learning leaders can communicate to business leaders and help them understand the "what, so what and now what" around their learning programs. Amy Graft from Siemens explains how knowing your data and understanding impact can get you the seat at the table you're looking for.
Do You Want To Look Good Or Be Good?
For the vast majority of Learning organizations, our evaluation techniques have remained fairly constant over the past few decades. Most organizations use average scores to measure effectiveness. While average scores have value, they mask where we have failed to add value to participants and our organizations.
Do You Want To Look Good Or Be Good?
For the vast majority of Learning organizations, our evaluation techniques have remained fairly constant over the past few decades. Most organizations use average scores to measure effectiveness. While average scores have value, they mask where we have failed to add value to participants and our organizations.
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5 min read

Getting to the Bottom of ROI: What Are My Options?

Written by
Performitiv
Published on
July 6, 2022

I talked last week about what to consider before you venture down the path of ROI:        

- Data Availability (Which data doesn't L&D own and what's the process to get it?)          

- Resources (Do you or your team have the time?)          

- Capabilities (How do the capabilities of your resources impact what options might be feasible?)

Next week, we'll start digging into to each approach for ROI, but let's start by highlighting what the most common approaches are first.  Before that though, it's important to understand the key factors which might impact the level of rigor available to you:

‍Soft ROI: Sometimes due to constraints with data, resources, or capabilities, we can only tell the story of 'return' with purely evaluation or activity data.  A soft return might be in the form of a presentation summarizing results around how effective a program was.  This could include data on activity, delivery effectiveness, knowledge gained, and even get into application and impact, but leveraging more generic indicators, potentially with qualitative data to support it.

‍Inferred ROI: This approach lies somewhere in the middle, leveraging both evaluation data and some business data.  This wont' be as extensive as a full study, but it should contain data to infer impact.  For example, comparing results from trained and untrained groups, trending results around the time of training, or looking at predictive outcomes from the evaluation, aligned with their actual business results.  We know there are a number of variables that impact any business outcome, so we're not telling a story of causation, rather of inferred impact.

‍Full ROI Study:  This is the most rigorous approach and aligns to the work done by Patti and Jack Phillips of the ROI Institute. This is where you have the need to demonstrate a financial return on your investment leveraging a process that runs from defining outcomes/expectations all the way through the measurement, analysis, and reporting.  Patti will be writing a guest blog post to go into more detail on this in a few weeks.

I hope this is helping to pull this amorphous concept into something more concrete; I look forward to sharing more information in the coming few weeks. Be Well and Happy Spring!

Chris LeBrun
Director, Professional Services

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In Lesson #2 from Performitiv's Next Gen Learning leaders video series, JetBlue's Lauren Kramer describes how learning leaders can communicate to business leaders and help them understand the "what, so what and now what" around their learning programs. Amy Graft from Siemens explains how knowing your data and understanding impact can get you the seat at the table you're looking for.
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