The Product Design Sprint is a fast-paced, collaborative process for conceiving and testing new product ideas. An established company or startup might see an emerging opportunity around a customer need, or they might already have a specific new product or feature they are considering. A Design Sprint is the perfect tool for rapidly exploring, imagining and evaluating a solution approach without having to first build and launch a product or feature.
Highlight reel (3:37):
In my lead-in talk for the Tufts Symposium on Innovation, I attempted to wake up the audience with a shocking tale of world domination.
Well, sort of.
We at the Awesome Foundation were surprised four years ago when our idea to give away money resonated as much with givers as with receivers. The very principles that directed our giving efforts turned out to be powerful facilitators for organizational growth.
Here are a few of them:Low Barriers to Entry
What began as a desire to allow anyone, anywhere with a good idea to more easily pull it off translated easily into anyone, anywhere with a desire to start a chapter of the Awesome Foundation to do the same. No permission required. No formal organization to set up. We think of it like a highly portable brand anyone can own and use, an idea framework to extend, a set of tools to deploy, an excuse to join up with friends and make a difference.Balanced Power Dynamics
A strict no-strings attached grant policy, a refusal to narrowly define what awesome is, and a lack of formal leadership or governance structure helps create an environment where work is driven by individual contributions, decisions are made locally, and anyone with a good idea doesn’t need permission to make it happen.Constant Experimentation
We fiddle with things. Since no one needs permission, projects just happen (vs. a frenzied vetting of every new suggestion). This lets the best ideas gain traction while the less than stellar initiatives starve. This environment of experimentation works well on a global level as well. Each chapter imagines its own future, launches its own events, and sets its own rules. Then we learn from each other and steal the best ideas. Distributed ownership plus collective learning can be a powerful combination.
Inc. Magazine reached out to discuss the Awesome Foundation. They were particularly interested in our iconoclastic approach to idea development and what lessons traditional businesses might learn from our approach. I'm particularly fond of our commitment to the "no strings attached" policy to supporting creators and their ideas.
Anyway, take a read!
I am a Mentor for Techstars Boston, helping guide startup teams through the early-stage morass of product and business strategy. To kick off the program, the twelve or so founder teams set aside several days to tackle as many 30-minute meetings with mentors as possible – usually dozens.
Dubbed “Mentor Madness,” this process initially struck me as an inefficient approach, since startups have to repeat their story over and over. Additionally, many Boston mentors come from different industries and backgrounds with different levels of experience and armed with a wide range of opinions. How do startups handle so much potentially conflicting advice? How is this not confusing and frustrating and (seemingly) a waste of time for startups, when time is the single most important resource they have? It turns out there are some surprising and powerful outcomes of this process that weren’t clear to me at the outset.
First, stringing together a large number of back-to-back meetings provides a fantastic laboratory for testing whether a founder’s pitch makes sense and then refining it in situ. Did the mentors understand the fundamentals of the business, how it works, and the core customer value? Did they zoom in on the problem areas, and most importantly, were mentors able to quickly understand where they might be the most helpful? As demo day approaches, nothing may serve founders better than practice refining their pitch and effectively soliciting help (read: funding).
Then, putting honed business ideas up against the musings of multiple new minds directly challenges a weakness many early stage startups have: the insistence that they’re already on the single best path to success. Self-confidence and faith is imperative; however the most successful early stage startups are not afraid to reconsider their strategy and pivot early enough to survive. The integration of repeated, tough feedback from mentors helps founders understand they should be open to changing course.
I have a theory. If you get a few smart people to tell you your business or product direction needs help, you might brush it off. You probably ask yourself, what do they know that I haven’t spent a year already considering? But get an overwhelming barrage of thoughtful feedback all at once and a subtle attitude shift can occur – a realization that the current plan might have weaknesses. There may be better approaches, and these folks seem to be willing to help – why not let them lean-in?
In this situation, good founders can take a step back and recognize that a diversity of opinion opens up possibilities. Advice can be a resource to tap where you pick and choose what educates and inspires. The best founders learn to not take judgments personally or throw up defenses to strong recommendations. Instead, they mine the diversity of input for gems, develop the patience to recognize helpful input, and stay true to their underlying vision.
Finally, the sheer number of interactions with mentors increases the odds of finding a good connection between the founders and the mentor. I’ve stopped thinking of this as just a matchmaking process.
Instead, lots of meetings increase the number of opportunities for a mentor to lean-in and help with more than spot advice. For some of us, mentorship involves interacting across multiple teams and providing one with timely advice, another with a customer lead and a third with a working session on development. In each meeting there isn’t always an obvious opportunity to leverage a mentor’s experience or connections, but the startups that are open to help and willing to overclock on interactions will maximize the chances that a mentor will eventually offer more substantial assistance.
Something magical happens when startups are exposed to a big surge in input from helpful individuals. A recognition they are not alone, that possibilities open up when shields go down, and given enough interactions and openness to input, some skilled mentor is going to have the irresistible urge to drop what they’re doing and help a company in a more substantial way, right when they need it.
Dear Fellow Bostonians,
At its core, The Awesome Foundation is about community. And for Boston, the marathon represents our city's community at its best. It'd be a real shame if violence is all anyone thinks about now when they think of the Boston Marathon.
So we're collecting awesome stories and memories from Boston Marathons past to showcase this incredible community event. Let's remind the world about the 116 years of amazing memories, not a single sad one.
Read, share, and contribute here: 26milesofawesome.tumblr.com
Sharing a story can be as simple as completing the sentence: "The Boston Marathon is awesome because..."
Here’s to making the 2014 Boston Marathon the most awesome one yet!
The Awesome Foundation, Boston
The new ideas and experiences these three made real are quite different from one another, yet there are patterns to be found here; for example, in leveraging small victories, having big dreams and believing in your people.
Over the last few months, I've blogged in a number of places other than here. So a round-up is well overdue.
The biggest splash probably came from a post that Eric Athas and I did on our Facebook geotargeting experiment through invitational cross-post on Neiman Journalism Lab's site. We saw some amazing engagement around localizing content through NPR's 2.4 Million followers and are now in the process of testing out scaling this experiment into new markets. Stay tuned!
Also of note was Steve Mulder and I's post on why mobile web matters to NPR. To cut to the chase, we're seeing big growth on mobile web nationally and think there's some great potential in engaging sideways traffic from in-app browsers. Our superstar Product Manager Erin Martin did a post outlining our very lean-startup-esque mobile web pilot we just launched to test some of these core assumptions.
Finally, I highlighted some great stats from one of our member station in St. Louis that is really hitting it out of the park with our publishing tool.
There are scores of news sources covering the elections, but which provide us with a clear picture of how things are progressing, especially when so many sources these days rely on sensationalism or political bias to build audience? One potentially under-valued way to understand what’s happening in our world is to take a look at online prediction markets.
Online prediction markets are sites where individuals can place bets - usually non-monetary – on particular outcomes of world events. These "bets" take the form of either/or outcomes, such as whether a particular movie will be number one in the box office or whether a political candidate will win or lose an election. Bets are then traded much like on a stock market. If you bet wisely on a particular outcome, then you stand to "profit" on your bet. As individuals buy and sell on potential outcomes, the collective prediction fluctuates in real time. As bystanders, we might gain some insight into predicted outcomes and their underlying drivers by watching the fluctuations in predictions as they unfold.
But are these predictions accurate? Markets such as Iowa Electronic Market have been recognized as being a fairly accurate and effective predictor of past elections. While past performance is no indicator of future outcomes, it can be enlightening to watch the outcome percentages fluctuate over time. Behind shifts in predicted outcomes lies the aggregated knowledge of all the market traders. In other words, when a percentage shifts there might be new information driving that shift. In the case of an election, this shift might represent the punch of a campaign ad or the release of a new piece of potentially damaging candidate history. Because traders stand to benefit if they move quickly on a piece of new information, outcomes in exchange markets often represent the very latest information and can be used as a bellwether of sorts around particular events as they occur. For example, perceived performance during the course of a live debate might drive real-time market predictions. Additionally, as bystanders we can gain a better understanding of important events without first having to track down and analyze the underlying facts. The underlying information is still critical of course, but instead of finding it and determining what it all means we might do the opposite – look for impacts and then find the information behind it that might prove meaningful.
Monitoring outcome percentages in prediction markets might be useful for the casual news consumer. I have pulled prediction numbers from three online prediction markets on the web around the upcoming presidential election in order to explore whether this theory might be correct. Specifically, I include predictions in real-time from Intrade, Foresight Exchange, and the Iowa Electronic Market around whether the incumbent president will secure a second term1.
Once per day, I will automatically pull the prediction numbers from the three respective markets and publish them to my Twitter feed. My hope is that these percentages and their fluctuations over time might help the casual news consumer get a slightly better understanding of not only the election outcome, but of meaningful news information that might be happening surrounding the election without having to wade through a sea of potentially conflicting reports. I’m curious whether this experiment might be useful or the predictions accurate. I have no idea – perhaps you can help me understand. I’ll be watching responses on twitter and reporting back if interesting stuff arises.
1 To be clear, I could have tracked whether Obama will either win or lose the election (% chance of losing = 100 - % chance of winning for those keeping score at home). The decision to track the chance of a reelection and the decision to track the presidential election more generally does not represent my views on the outcome (e.g. whether or not I prefer either of these outcomes), but instead represents my desire to do the least amount of math possible, since all three prediction markets provide prediction data in the affirmative (win) rather than the negative (lose). It’s also worthwhile to note that these three prediction markets represent slightly different potential outcomes, for example, it is technically possible for Obama to not secure a second term without losing the election. I feel these outcomes are similar enough for the type of monitoring I propose to treat as equally representative of a predicted reelection outcome.
Intrade tracks Obama's re-election, Foresight Exchange and Iowa Electronic Market track any Democratic candidate winning the presidency.
Most of the blogging work I've done over the last several months has been around NPR's local news efforts.
In Beyond the Blog, I point out some interesting places where Gawker Media's new proposed redesign may teach public media a thing or two and perhaps suggests that we're on good footing.
In another post on Top 10 Challenges Stations Face in Adopting Local Continuous News, I go into detail around what we've learned as we introduce news blogging to our pilot public radio stations and teach them how to do it. Certainly some lessons here around new technology adoption and organizational change management (pro tip - it's hard).
And even earlier, I looked at The Pew Internet and American Life Project findings from their Neighbors Online report on individuals’ use of online tools. The big takeaway here is that people don't care less about local news, they're just shifting their attention to a wider array of sources and finding content via their social connections online.
If you're familiar with NPRbackstory and want to know how it was put together, you can't do better than with this online tutorial.
- Applicants don't have to meet obscure grant requirements, jump through hoops, or even be held accountable for the money they receive. This means that if someone is inspired by a particular idea, they don't need to compromise that idea to meet some seemingly irrelevant application criteria or foundation obligation. This ability to follow one's own muse results in a high variability in submissions, a diversity of applicants, and a sense of freedom that can be inspirational.
- The Awesome Foundation is the only philanthropy that enables people to form their own philanthropy. There is something about the idea of the Awesome Foundation that is contagious. Its openness, lack of formal structure and small consensus-oriented team size allow micro-foundations to be easily replicated. This deeper sense of individual ownership over the giving process could be a powerful motivator towards larger-scale social good.
- The focus is on funding individuals to get things started that they wouldn't otherwise start. There is latent awesome idea potential in all of us - the snag appears to be getting off our ass and executing on it. So the Awesome Foundation's mission is to help you introduce awesome into the world. Not the continuation of mediocre stuff. More awesome.
- There is no hard and fast definition of what awesome is. Each micro-trustee brings a different definition and evaluation criteria, and this diversity of opinion permits surprise and delight inside each friendly monthly debate
- Awesomeness is, well, awesome. Most of the world is structured to encourage the creation of lowest common-denominator crap. Crap results from ideas being evaluated on their broad appeal, practicality, proven track record, or predictability of outcome. Awesomeness instead is about novelty, surprise, excellence, uniqueness, and wild and risky ideas. If we're going to fix the world's really big problems, we are going to need more wild and risky ideas.
Full Disclosure: I'm a founding member of the Awesome Foundation and an active micro-trustee.
At PopTech last week, I was fortunate to hear author Anthony Doerr reading his essay Butterflies on a wheel. Below is the recording. If you enjoy this, I encourage you to check out his website, read this piece and learn more about his writings.
The Awesome Foundation is a simple idea. We support people doing awesome things in the world. Every month we give out a $1,000 of our money to an idea we think is awesome and should be released upon the world.
Yes, but what do you think is awesome?
Awesomeness is more the product of a creator’s passion than the prospect of audience or profit. Awesome creations are novel and non-obvious, evoking surprise and delight. Invariably, something about them perfectly reflects the essence of the medium, moment, or method of creation. Awesome things inspire and attract.
Here's how we support more awesome:
- You apply by writing a few sentences about your awesome but unrealized idea. There are absolutely zero restrictions on who can apply and what sort of idea could win.
- If we like your idea, we give you $1000. Possibly in a brown paper bag.
- There are no strings attached or hoops you have to jump through. Of course, we hope you'll execute on your idea, but, you know, whatever.
Lots of people have been asking to find out more about the Awesome Foundation. Here's some background.
Every day brings an avalanche of new ideas and novel creations to the web, from witty t-shirts and viral videos to innovative methods of collaboration and powerful new software. The creation of unique and interesting things is not new, but the current surge in individual creative activity and its subsequent high visibility on the web is unprecedented.
The most compelling of these creative products I have been referring to as The New Awesome, and they represent a tiny portion of the total creative output. Historically, the word "awesome" might have been used to describe the power of a tornado or the grandness of a majestic vista. Today, the word is more often used to qualify the ingenious or impressive products of personal creativity, such as using hairspray to launch a potato 200 yards, hosting a talk show in Halo 2, or mocking the Kansas school board’s ruling with an ingenious take on religion.
But there’s more to the New Awesome than merely creative flair. The most interesting and, well, awesome creative products seem to share some common characteristics:
- It is novel and non-obvious
Nothing like it has really quite been done before. Whether a clever approach, an unforseen bending of the rules, or just a commitment to excellence far beyond the expected, the New Awesome never fails to evoke surprise and delight.
- It emerges from passion, without the prospect of audience or profit
From the first encounter, it's clear that the creator felt compelled to make this. Recognition or revenue is icing on the cake.
- It is initially under the cultural radar
The New Awesome invariably emerges from the depths of the long tail. While the creator might be previously known for their creations, your mom has never heard of them.
- It captures the essence of the medium, moment, or method
For something to truly stand out in the sea of creativity, the creator needs to tap into something true and magical. Don't ask me to define it, because I can't. In the words of Justice Potter Stewart, you know it when you see it.
- It evokes passion, community, like-minded behavior, and the insatiable desire to pass along
The New Awesome is meme fodder. From it springs a thousand remixes, knockoffs, spinouts, and analogs. People gather around the hem of awesome.
An interesting result of this creative surge is the rising importance of effective discovery and distribution of the best creative products. In other words, when there is a rising sea of mediocrity, how do we find and highlight the very best? Alas, this will have to be the subject of a future post.
Kickstarter is a new way to fund creative ideas and endeavors through online collective support. Individuals get rewards in exchange for backing a project, and no one is committed unless a project gets all the support it needs.
The Open Business Cards experiment uses Kickstarter to help fund the creation of 100 Creative Commons licensed background images for anyone to use for free. As part of the project, up to 10 packs of mini business cards will be created using the images and distributed as part of an exclusive run.
The idea was inspired in part by MOO MiniCards, which let you put custom photos on the back of high quality mini business cards. Since MiniCards come in packs of 100 and you can upload up to 100 custom images, I thought it would be fun to create a pack with every card you hand out being unique and open.
Before initiating this project, I had begun to create a library of textural background images from my iPhone. This was inspired by the discovery that if you power off your iPhone with the camera app running, you'll get an impromptu close-up shot when you next turn it on. This is usually a shot of a table surface, the ground, your shoes - many of which provide interesting textural backgrounds.
I have shot 53 photos so far (as of this post). I will open up the licensing of this photo set once I have shot 99 acceptable background photos.
At the VRM West Coast Workshop on May 15, I briefly presented The Six Key Traits of the proposed VRM ListenLog project. Each trait distinguishes the technology from a straightforward, local log file. Each differentiator is critical in highlighting what makes the ListenLog concept so powerful.
Listen to the bad audio while you click through the two slides. What could be a more informative way to spend six minutes?
My NPRbackstory experiment got some press this week when Josh Benton from Harvard's Neiman Journalism Lab published an in-depth piece on the utility. Josh and I had discussed the project last fall, right before I started working for NPR (the utility was cooked up as a homegrown effort to play with the API and is not officially endorsed by NPR). More recently, he saw an interesting backstory piece pop up on the Kentucky Derby and plumbed his own archives. I'm particularly excited by his focus on how the tool extracts value from existing news archives.
And of course I'm grateful for all the positive mentions on twitter... and for my employer not pulling my API key when they found out what I had done ;-)