What Drives Philanthropic Success?

Since publishing my book Strategic Giving, I have traveled around the country and abroad talking to foundation leaders and major individual donors about what strategy looks like in the world of philanthropy. I have developed over time a compelling and polished (if I don’t say so myself) multimedia presentation that walks through all the big questions that a donor must confront when trying to formulate a philanthropic agenda that generates both a social return for the community and psychic return for the donor. While I have convinced myself that I have a fine way of exploring the central strategic challenges in philanthropy, I am increasingly troubled by a recurrent worry. It is a worry about what actually drives philanthropic success.

Let’s define two categories of philanthropic processes. The first is technocratic, rationalistic, and ordered: It includes program positioning and issue research, alignment and coordination across initiatives, logic model drafting, white paper or concept paper development, proposal reviewing, adapting and applying new information technologies, program evaluation design and implementation, and all the other day-to-day professional work that goes into modern philanthropy. Around this work a growing industry populated by smart people has sprouted up, designed to help foundations and donors do this work better and better. Call this Category One philanthropic work.

Now consider what might be called the more humanistic, interpretive, and adaptive work in philanthropy, which really comes down to judging the capacity, character, resilience, intelligence, and resourcefulness of the people who seek philanthropic funds. This is the kind of ill-defined and untheorized work that comes down to judgment and gut assessment by the donor of the person sitting across the desk from them. Call this Category Two work.

Now to my worry: What if Category One philanthropic work really only explained a small part of philanthropic effectiveness and social impact? What if Category Two work explained a vastly larger percent of outcomes? If this were a social science morel, we might ask what the r-square statistics of these two types of philanthropic work are if the dependent variable is effectiveness. The r-square statistic ranges between 0 and 1 and tells us how much variation in the dependent variable is attributable to changes in the independent variable (here, that would be Category One and Two philanthropic work). My concern is that the growing philanthropic industrial complex—made up of consultants, researchers, trainers, and advisors—believes, earnestly believes, that the r-square statistic for Category One work is high, perhaps up to .75, and this justifies the substantial amounts of money invested in building up and supporting this work. But I have come to doubt this assumption over time and now think the r-square statistic might actually be very low for Category One work. I am more and more of the belief that Category Two work has the big r-square and explains a lot more of the achieved social impact than anyone wants to admit. The problem is that Category One work has an army of salespeople out and about selling tools and frameworks, while there is virtually no infrastructure to support Category Two work.

This much said, I will be releasing a new short and practitioner-oriented book on philanthropy, titled The Essence of Strategic Giving, which represents yet another contribution to the philanthropic industrial complex. What I think the field really needs is a systematic guide to the difficult art of assessing the innate ability and capacity of grant seekers  to conceive wisely a vision and then actually carry out their plans. If donors cannot judge character and capacity correctly, all the tricks of the philanthropic trade will not help them achieve their goals. What such a guide would look like I do not know, but I doubt the current philanthropic industrial complex has the will to design and deliver it.

Comments

Doesn't Category 1 Support Category 2

You seem to define cat 1 philanthropy as measurement driven, cat 2 as value calculation driven. Well wait the Cat 1 group might say, don't you have to measure in order to have things to plug into your calculation? The answer of course is NO. Measurement of data and information can certainly provide inputs into value calculation, but value is always subjectively evaluated.

I find the scenario you present as no different than what appears in the business world between performance driven managers and instinct driven managers. Data and information is valuable to the instinct driven manager, but instinct is not valuable to the performance driven manager. When it comes right down to it, analysis of almost all the data and information required to make a business or giving decision comes down to the potential value ascribed to the choice - and as stated, value is always subjective and therefore always (at least in part) a gut decision.

By the way, I reference "On Being Noprofit" and your elucidation of supply-side nonprofit theory heavily in my recent master's thesis: UNLEASHING THE POWER OF NONPROFIT ENTERPRISE: THE HISTORY AND ECONOMICS OF NONPROFIT ENTERPRISE AND HOW EQUITY CAPITAL CAN MULTIPLY ITS IMPACT

Great post!

Peter, I greatly enjoyed your post and couldn't agree more. I blogged my response here.

false choice

I think you assert a dichotomy that in fact doesn't exist. Good, relevant data and solid logic contributes to better philanthropic decisions. And, of course, there is an interpretative and adaptive element that is necessary to good decision-making also. Why must we pretend as if things are mutually exclusive when they are not?

Phil Buchanan
Center for Effective Philanthropy

I don't think they have to be

I don't think they have to be separate or that they are mutually exclusive but rather that we spend a lot more time and money in consulting fees within the philanthropic industrial complex on the logical and strategic work than we do on the interpretative side of things. We just don't have much knowledge about how to judge the competence and quality of leadership or how to assess human potential, even though we all know that it is critical to the success of nonprofit endeavors. So I would be delighted to see the two worlds overlap, though at some point I doubt that human talent and ability can be judged through a strategy tool or framework. In the end, I am just am making the less than controversial observation that the money in the philanthropic sector is focused way more heavily on building category one skills than on cultivating category two abilities. And we do not know that category one is where the "action" really is when it comes to making philanthropy more effective.

The tilt to category one is really is a function of the professionalization of foundation workforce over the past 4 decades. As "principals" and well rounded generalists have been replaced with more specialized "agents" and experts, the field of philanthropy has naturally be drawn toward technical solutions. Philanthropy is not unique in this respect. Its development is really a repeat of the same old story of professionalization that has swept across many other fields from law to nursing to social work and beyond. See Andrew Abbott's fabulous book The System of Professions where he shows that across all the professions there is a natural sequence in which professionals assert control over the boundaries of their field, regulate who may be part of the profession and define what constitutes expert knowledge. In this sense, philanthropy's professionalization is still in its early stages. This is good news for the philanthropic industrial complex since it suggests that the trend toward category one work is likely to accelerate over time.

Why do we have to choose?

I was really pleased to see Phil Buchanan's reponse titled false choice. As long as people are involved, there is always an element of subjectivity. The statistical analysis chosen or not (Cat 1) are just as "biased" as the more humanistic approaches (Cat 2). What would happen if we used both Category 1 and Category 2 and whatever other category might support informed decision-making that leads to better impacts?

What about a measurement for mistakes?

Dear Mr. Frumkin,

This is really not what I expected to hear you say!

Perhaps a way to get funders to recognize the individual contribution would be to create a measurement tool to see how the nonprofit employees are empowered to make their own decisions, and allowed to make mistakes within their jobs.

If the passion of the people is the most important, perhaps in addition to the resumes of the people involved, ask them to write in their own words, why they believe the work is important, and what they intend to do to make the program succeed if given the grant money.

What do you think?

Mazarine
http://wildwomanfundraising.com