Sky Footwear: Sparking Encouragement and Hope for the Homeless

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Keaton Hendricks, a 23-year old business student, took a class assignment of coming up with a Shark Tank inspired pitch and created a business that not only makes money, but helps those in need. Sky Footwear is a for-profit company that sells socks in a buy-one-donate-one process, with every donated pair of socks going directly to local homeless shelters.

Hendricks paired the growing trend in sock fashion—you see everyone from professional athletes to powerful business men sporting different colored socks these days—with the constant need for socks among homeless shelters—a need he learned first-hand while volunteering at a low-barrier homeless shelter in Indiana. Hendricks says of the matter:

“I realized that many of these people who had nothing were thankful for anything. I was repeatedly amazed at the thankfulness that the individuals at the shelters showed for the simple things that I take for granted everyday.”

With socks being the number one item requested of most homeless shelters, it seemed like an easy alignment of social and financial motivations.

How it works
Customers search the user-friendly website for either individual or packs of socks. They come in all different styles and colors, and the customer has the opportunity to mix and match as needed. Sky Footwear is committed to donating one pair of socks to various homeless shelters for each pair purchased by a customer.

Socks and packages are priced from $10 to $125; customers have the ability to subscribe to a monthly sock box.

Impact to date
The concept for Sky Footwear was created in 2015, and since then the company has donated to 12 shelters.

Current initiative
In the month of August 2017, Sky Footwear is committed to donating to Hartford Rescue Mission. Hendricks estimates the final donation to be over 400 pairs of socks, and he urges you to sign into the site and buy a pair today to help join this cause.

Sky Footwear’s vision
“It is our vision that those who wish to make a difference can use Sky Footwear to both make that difference and look pretty stylish in the process as well. You never know what a small act of kindness can communicate. You never know what could spark a change in someone’s life. Who knows, a pair of socks might be just what they need.”

Additional info
Click here to visit Sky Footwear.

Click here to visit Hartford Rescue Mission.

Note: The quote and vision statement written above come from Sky Footwear’s website.

The World’s First Social Impact Bond: Success or Failure?

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Despite all the criticism, negativity and reports of failure, the Peterborough social impact bond may prove to be a disrupter in the way we fund social services and invest in impact. Plenty has been written and said about the Peterborough prison social impact bond, so there is no need to go into detail here.

Why is this program unique?

This deal represents the first social impact bond in the world, one designed to leverage private dollars for use toward public services. Private investors provide cash up front to service providers—nonprofits, for example, who may have difficulty accessing traditional capital—and receive repayment of principal and possibly interest from a government based on the service’s outcomes. The final return to investors is based solely on the outcomes delivered and may amount to zero repayment if the programs are unsuccessful.

Complex investor motives

Being a participant in the first deal in the world (and actually, any of the first several deals in the world) offers a number of opportunities for interested “investors.” Beyond merely hoping for positive outcomes from the services and reaping a financial reward on the backend, early investors may be noted donors or fundraisers who normally fund programs such as these in the first place on a grant or unrestricted donation basis. The attachment to a social impact bond allows them more notoriety by way of appearing on every short list of active social impact bonds in these critical early years of their formation, while continuing to allow them to fund programs meaningful to them.

The reason for skepticism on the part of early investors is the lack of any substantive data proving these upstream programs work to influence outcomes in a financially tangible way. Early investors may as well just be donors at this point, and any additional return on their investments may help to build a case for future real profit-driven investments.

What does measuring outcomes mean?

Investment and repayment in the Peterborough deal were based solely on reducing recidivism rates among the cohorts compared to a national baseline. If reoffending rates in the first year after release dropped by at least 7.5% for all cohorts the investors would receive a return on their investment—if not, then they would receive nothing.

The OneService program gets funded in the beginning, regardless, via private dollars from investors. Meanwhile, the British government is on the hook for repayment only if this recidivism goal is reached. Governments can agree to deals like these because the outcomes desired—in this case, lower recidivism—theoretically provide some sort of financial value for them, either through lower costs or increased tax revenues. But looking at the Peterborough deal, there is no concrete dollar calculation tied to 7.5% recidivism reduction.

It could be argued that lower recidivism is not even an outcome at all, but merely an output of the service. Outcomes are the net results of activities, whose results are measured by outputs. For lower recidivism to impact the U.K. government in some tangible way, we would expect cost of prison operations to decrease, tax receipts to increase from having a higher tax-paying (i.e., non-institutionalized) population, damages from crime to decrease, etc. Simply reducing recidivism does nothing financially for the government if these greater impacts are not achieved.

Further disconnect between program and outcomes

The Peterborough program, as designed, rewards investors with taxpayer dollars based not on a net return on taxpayer investment, but rather based on a specific number of short-term offenders not reoffending within a one year period. This means, that the program may work wonders in the first year of contact with inmates, but after that, who cares? Several publications document the drop-off in contact between case workers and inmates after the first few months anyway. Add to this, the fact that while a good indicator of future behavior, initial behavior after walking out the doors does not adequately equate to long-term financial value for a government.

The one-year post-release measurement period should tie to outcomes received in the first year of repayment. Assume recidivism does drop 10% or so against a national baseline—what does this mean?
How many incremental taxpayers are added to the system? Are any prison wings shut down? How many fewer staff are required after that first year? What is the resulting drop in crime rate? And most importantly, what do these dollar amounts equal?

These are much more tangible results that should be looked at, or at least mentioned in any of the write-ups of this program.

Is this such a bad thing?

Even if the government entered into this arrangement without having even the roughest of estimates for these real types of outcomes, the deal still adds value.

First, the programs are clearly good ones. OneService has achieved some success and seemingly the more dollars thrown at it, the greater the scale the impact could be. At the very least, this deal serves as a public initiative to improve the system (which, ironically, that’s all it was, as proven by the fold-up into the criminal justice initiative Transforming Rehabilitation.

Second, and more importantly, this potentially paves the way for future deals around the world—and this certainly has been the case. It serves as a template of sorts and proof that private dollars can be brought into public services. Ignoring the fact that payments weren’t made back to investors (kinks that still need to be worked out in these systems), we have something to learn from and move forward with.

Moving forward

There are certain things to take away to make better deals in the future. Most critical is having a concrete understanding of the outcomes desired. Outputs such as recidivism are great for tracking progress, but broader measures of societal impact need to be measured and improved. If there is any disconnect between the two, then these types of programs will not ever achieve what they were intended to: bring in private capital.

As more of these deals are created, it is critical to track the progress of the programs. If these programs can start to prove outcome results that tie to real dollars on the government side, investors will naturally take notice that there is money to be made. And once this starts to happen, donors will be supplemented, but not replaced, by profit-driven investors—adding volume to the social impact investing marketplace.

If that is the primary result of the world’s first social impact bond in 2010, then that would be a tremendous success, no matter what the analysts say.

How Can We Make Pay-for-Success Useful?

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It is very easy to look at pay for success as the next great innovation in public service. It’s also easy to look at it as the next great weapon of Wall Street greed. That’s the problem. There are still far too many unknowns about the real potential of these projects, and it is far too easy to write off early failures as proof that these concepts will never work. And while the concept is interesting, the current process of studying and marketing these opportunities is being executed in a wrong way.

Small number of deals

Although they are certainly gaining traction, the limited volume of pay-for-success deals in this country (and the world) is an issue. Since they were introduced in 2010, there have been roughly 10 social impact bonds created each year, and have now expanded to 15 countries. Each deal takes months of planning, feasibility studies, and collaboration among at least three different parties. Much of this planning goes around underwriting the actual services and how their results will lead to financial rewards—results based on very specific programs offered by very specific organizations. While appropriate for a piloting process for this mechanism, this is a massively inefficient way to build momentum for a scalable model.

Additionally, most of these deals take 3-7 years to provide any sort of finished program data. So even if all these initial deals become major successes, it would take years to prove that this mechanism should be scaled up (not to mention the potential disaster if even some of them fail). At this pace, it will take decades to build any substantial database around program outcomes that can be leveraged on a larger scale. Successful programs will submit their program data and performance metrics, as well as how they map their activities to outcomes, but no two service providers necessarily records results in a uniform manner. There is no GAAP for nonprofit activities, which will make any comparison among programs time consuming, if not impossible.

All results are not created equal

The most influential factor of a program’s success is the provider’s execution. But throw in any number of external variables and the numbers can be thrown off and outcomes not achieved—even if the results are still better than a baseline scenario. You never know when the economy is going to turn upside down—or when riots will erupt in the streets—or when a new virus spreads across the country. But when any of these things happens, they can influence results for any types of programs or activities.

Imagine a health initiative designed to decrease the number of hospital stays in a local community. The program performs as expected, closing in on the desired numbers. Suddenly a new virus sweeps across the community, wreaking havoc on the reported numbers. Despite the program’s real success (real being defined as net difference between reality and a baseline scenario, which in this case must be altered to include the virus), the deal will be designed to not reward investors.

Who gets the credit?

When pay-for-success initiatives succeed, the provider is often recognized as the reason. Future funders will look to fund this same provider because: A) they’re clearly effective at what they do, and B) they have experience measuring a very specific set of outcomes now (reducing the need to pilot more studies and set up another organization for similar data capture). This newly deemed “successful” provider essentially owns a monopoly over an outcome and will be able to scale up; but it gets no easier for similar organizations to do the same unless they copy the methods of the first one, which may divert them away from activities they traditionally excel at. Does program success merely lock in future funding to a specific set of providers?

Alternatively, when these initiatives fail, it is often an indictment of the flaws found in these types of financing mechanisms altogether. It is much easier to blame the mechanics of the deal than to blame the execution of the program or flaws in data analysis. This creates a discouraging environment to pursue these types of arrangements, further contributing to the long timeframe of putting together a solid base of data and understanding needed to scale these things up.

There must be a better way

Instead of waiting for some magical database to be populated decades from now, what if we started with a more generic outcomes database? The fundamental goals of most nonprofits (and governments for that matter) are similar in nature, and they all strive to achieve similar outcomes. There is no reason these outcomes can’t be defined in a way that maps them to specific activities. These activities, in turn, can be mapped to resources that can perform them. This simple map allows the alignment of activity performers to outcome providers.

The hard part is quantifying the relationship between activities and outcomes. What sort of graduation rate improvements can be achieved if 50% more kids went to pre-school? What sort of recidivism rate improvements can be achieved if 50% more prisoners went to job-training programs? And so on…

Basic government budget and audit data provide some baseline of resources expended on public activities. Other public records such as labor, census, public health, and crime data provide some baseline of outcomes. Connecting the dots between activities and outcomes becomes simpler when you look at it this way. Simple statistical analyses could possibly provide correlations between resources spent and outcomes, allowing for some sort of predictive calculation to be done (e.g., 10% more per-pupil spending leads to 10% better college enrollment rate).

Fund outcomes…not organizations

Assuming some database like this was created, nonprofits could be publicized on a more universal basis. Their activities will be on display and attached to outcomes without even providing any program data. Of course, as program data becomes more available, their inclusion in this sort of database would only add to the calculations’ accuracy, making it an even more powerful tool.

If a potential social investor wanted to fund a health initiative in his hometown, he could search this database for specific outcomes (life expectancy, quality of life, etc.) and a list of activities will show up (extracurricular education, preventive screenings, etc.). The investor could then select whichever activity fits his mission and a list of possible providers will appear. This process allows funding to flow through to outcomes rather than specific organizations—not the other way around, as is the case in setting up a traditional pay-for-success deal.

Looking ahead

Building a database is not easy. Sure, there are plenty of public data sources, but they are often inconsistent or outdated. An activities-to-outcomes map is very conceptual in nature and may require assumptions and arbitrary values in the beginning. But as programs pile up and more data become available for inclusion, the accuracy of the database will improve. And then it can truly be a sustainable and useful tool for providers, governments, and funders alike.