A well-designed, well-executed and well-managed mentoring program will be very successful and sustainable.
Done well, mentoring programs enjoy high engagement and participation rates, low dropout rates, high satisfaction and goal achievement. Mentors enrol year after year, and mentees return to mentor others.
But, how can we best measure the impact a mentoring program has, and at what levels should we aim and look for impact?
There are various models used by learning experts to evaluate the effectiveness of training. We have adapted a learning impact model, commonly attributed to Roger Kaufman, “Five Levels for Evaluation of Interventions for Human Performance Improvement” 1 .
Art of Mentoring Model of Evaluation of
Mentoring Program Impact
Level 1: Input |
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Level 2: Acquisition of Learning |
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Level 3: Application of Learning |
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Level 4: Organisational
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Level 5: Societal Outcomes |
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Program goals should be set at all five levels and then, progress measured
This model provides an easy framework to assist in setting mentoring program goals at the outset, during the program design phase.
At the very least, we would expect a well-designed mentoring program to identify goals from Levels 1 to 4. Having a goal at Level 5 provides for a highly compelling story for recruitment of mentors and mentees into the program. Mentors, in particular, are strongly persuaded by a higher order reason to contribute their time.
Example Goal Set: Graduate Program
Level 1: Input |
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Level 2: Acquisition of
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Level 3: Application of
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Level 4: Organisational
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Level 5: Societal
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What can mentoring do for my organisation?
Research has reported mentoring can deliver benefits such as employee commitment, motivation and retention, higher morale, better working relationships and better leadership.
In a study into formal mentoring programs in Fortune 500 companies2 , the five most frequently cited impacts of mentoring included:
- Retention (59 percent)
- Promotion and advancement (35 percent)
- Satisfaction (35 percent)
- Morale (29 percent)
- Productivity and performance (29 percent).
In an often-cited long-term study3 , Sun Microsystems found 25% of participants in a mentoring program had a salary grade change and mentees were promoted 5 times more often than their unmentored peers. Retention rates amongst mentees (72%) and mentors (69%) was favourably compared to the general retention rate across the organisation of 49%. Sun claims to have made $6.7 million in savings in avoided turnover and replacement costs. They also estimate an ROI of more than 1000% on their investment in mentoring.
We observe that organisations that set strong goals, measure frequently against these goals, and adjust their mentoring programs accordingly, record better results and enjoy greater program impact.
We would like to see more organisations measure ROI for their mentoring program investment. This must go beyond just collecting data from program participants. For example, together with the NSW Department of Primary Industries, we are tracking progress of mentees over the years following their participation in the department’s mentoring program for scientists. This includes collecting retention, career path and other data and comparing with the data for their non-mentored peers. We are already seeing impressive results.
© Melissa Richardson 2020
1 Levels of Evaluation: Beyond Kirkpatrick. By: Kaufman, Roger; Keller, John M. Human Resource Development Quarterly. Winter 94, Vol. 5 Issue 4, p371-380
2 Hegstad, C D & Wentling, R M. (2004) Human Resource Development Quarterly, vol. 15, No. 4
3 Sun Microsystems Study (2009), downloaded from http://spcoast.com/pub/Katy/SunMentoring1996-2009.smli_tr-2009-185.pdf