“What does [did] it take to be[come] CEO?” Answer: Goals / Failure / Reality

StrengthsFinder is a great way to talk about personal motivations (Learner, Activator, Strategic, Context and Input). DiSC profiles (Persuader / Inspirational) are also helpful – but this tool still feels more tailored to corporate HR. StrengthsFinder is an amazing framework for leaders to understand what tools to use in becoming CEO.

1/ A goal.

wright-business-card

The goal was to fly.

Sometimes it is really clear what **not** to do, but not really clear what should be done. It can be obvious how to not lose, but still be hazy in understanding what ‘winning’ would look like.

Through my time in manufacturing as an operator and investor – it became clear to me what winning would look like for our technology. It was also clear that we weren’t working towards that goal – in fact we were still doing a lot of ‘obvious losing’ type activities.

Articulating a clear vision can be hard. Communicating strategy clearly in an organization can be difficult (it even says so in both of my possible DiSC profiles). Alignment is not easy to build. However, it is better for someone to have that vision, and have the constraint be communication and alignment, than for the organization to not have a clear target or definition of success.  We were the leader in our space – our goal was to grow that space and create sustainable long term business.

“Accomplishments are measured against realistic expectations.” – Jalen and Jacoby Podcast

Strategic – There was a vision of success. The business was adrift in an ocean of complexity – but it was clear that the constraint was in developing end market solutions. Without that, everything was luck.

Context – The success was defined within the reality of the market and technology we were in.

3/ Comfort with failure.

Three of us were sharing the CEO role when I was asked to take over. The previous Group CEO (I was #10 to have ‘CEO’) in my title, had left us in that spot for a year after his resignation. Any of my other colleagues could have done it. The board could have done a search, or a chairman could have stepped in. I hate losing and I was tired of it.

“I hate losing and I was tired of it.”

Better to fail at a new role, pursuing a winnable end game, rather than watch another person have to come up to speed on the needs of our customers and capabilities of our technology. As a senior in highschool I’d avoided voting for myself to be captain of the volleyball team – only to lose by one. My friend, who voted for himself, became captain with the help of my vote. Not again – any egalitarian view of leadership had been lost.

Strategic – It was clear that the time that it would take to bring someone else up to speed was too great. Either I could do it, or we would fail in leadership purgatory before someone else came on.

Activator – It was better to step into a difficult position rather than simply ‘hope’ that would everything would be okay.

3/ Willingness to talk about reality.

Our plans to achieve our goals were not robust. The financial plans did not build off of the operating plans and neither interacted with the technology plans. When this became clear it was clear our duty as management was to have this conversation, rather than hide from it. Everywhere our observations about reality were doubted – but we were the only ones doing the work.

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Pirie’s book is a classic on how to frame, and deal with, problem resolution.

If a team had done no planning – they lost the right to complain about a mediocre plan that needed work (the fallacy of damning the alternative). If the sales plans failed, then I expected my colleagues to hold me accountable and identify the gaps. If the board asked for a plan – we needed to either admit problems and ask for time or be prepared to share some painful updates.

To achieve a goal, leaders need to create a map. Without defining reality, we don’t know where we are on the map.

Input – Input is all about taking the right piece of information and delivering it where it is needed. It’s like a person with an API that serves up connections / tidbits as needed. Input collects data and feeds it to the model that defines reality.

Learner – Modern education espouses multi-disciplinary learning – but this is definitely true in electrospinning and in any application of fiber science. Too often new market entrants would try to over simplify a problem – only to have it be a fundamental constraint to achieving their goal.

[The business card images came from here.]

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“What does it take to be (a good) CEO?” Answer: People

All of the successes were from bringing in good people, helping them frame problems and getting them the tools they needed to be successful. The failures? They were mine – mostly due to not properly resourcing a problem with the right people, or having the right people but without the right tools for them to win.

Leadership requires aligning the right people around an activity. I was fortunate to have good mentors, good colleagues and good customers.  Big leaps happened with the right people in place with the right tools.  Stagnant periods without progress (the real killer of startups) happened in the absence of the right people, or when the team didn’t have essential tools.

1/ Mentors

A mentor recruited me into the company – but then left. I filled his role, and then took on the group CEO role. His advice was extremely valuable. Dave Neal was a long time mentor and his partner Chris Heivly became a trusted advisor. Advising other startups earlier in their entrepreneurial journey can be cathartic and clarifying. Hap Klopp changed my whole view of working with apparel and commercializing industrial technologies. An under achieving startup can acquire a lot of emotional debt and tension as it struggles to find product-market fit. Combine this with culture gaps between production (Eastern Europe), sales and technology (US and Western Europe), and a global customer set (US, S. America, China, India, Russia – all over) and it can be hard to get a feel for what is really happening.

Mentors let you have an audience to talk about and try on ideas. They can provide the, “that’s dumb” feedback that is needed sometimes – and keep you focused on what delivers for your customers.  The mentor also can be sure that your corporate role is in line with your personal goals.

2/ Colleagues

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Six years later, the supply chain diagram holds up.

Complex problems can require broad teams to get the needed skill sets around the issue. Electrospinning is complex.  Manufacturing is complex.  The end industries are complex. Combined – it can be overwhelming. We were fortunate to have exceptionally bright minds with top academic pedigrees. The team was young, but it was committed and creative. Having the right colleagues and creating the right dialog is crucial to success.

Taking on a leadership role can quickly change team dynamics. An open dialog helps create success, but this can be hard to maintain. Fostering positive feedback loops that help customers win is important. Ego, arrogance and pride can stop the kinds of change that startups must embrace.

3/ Customers

Steve Blank’s definition of a startup as a business in search of a customer is dead right. Good customers are invaluable. Finding profitable learning scenarios accelerates commercialization. Creating open, positive feedback loops is essential.  Elmarco has some amazing customers – and the diversity and skillsets of the team made it possible to forge deep and lasting relationships that created fast learning for Buyer and Seller.

As the tenth person to have ‘CEO’ in my title – I treated the investor group as a customer. As a hired (as opposed to founding CEO) I had an obligation to present reality as the management team understood it, to them – even if it was at odds with their beliefs, or what they had been told in the past.

4/ Recruiting

If good people are a key to leadership – then the ability to recruit is essential. Knowing how to frame the problem, the role needed to solve it, and to use that to attract people is essential. Frame the problem poorly and no one will join – or you will get the wrong people on board.

The right person, the right conversation and the right insight can change perspective dramatically. A big network leads to broad recruiting. Good recruits can create success out of very difficult situations.

 

Posted in Business, Disruption, Filtration, Innovation, Invention, Marketing, Materials Science, Methods, Textile, Theory, Uncategorized | Tagged , , | 1 Comment

Biology vs the Over-Simplification of Economics

A changing US tax code and shifting geopolitical activity puts more focus on the opinions of economists. Bloomberg economist and Michigan economics PhD, Noah Smith (his blog is Noahpinion) highlighted many of the issues in modern economic analysis in a recent twitter thread. At the core of most modern economics is an over simplification that leads to theoretical results that differ from reality. Biology as a field avoids this by embracing complexity and data.

Smith’s point highlights a common concern with economics – it solves problems through simplification. As an undergraduate double majoring in biology and economics the two fields are polar opposites. Biology encounters complexity and tries to make sense of the systems and data that the world presents. Economics does the opposite. An economist sees the complexity in an area without data – and proceeds to create simple, imaginary characters called ‘rational consumers’ and build up models based on equations and assumptions.

Simplification was an essential tool in a time of limited computing power and little data – but these items are no longer a constraint in how we can look at the world. Moore’s law gives computational power. Data is abundant – and if the specific data is not, then there are many ways to test or create it.

The economist sees a world that behaves irrationally because people aren’t rational consumers. People are more than consumers, and they place importance on items that aren’t in simple models. The moral simplification of people into actors with few unchanging needs feels ethically shallow.

The biologist starts with data, embraces complexity, and interprets facts to create a model as the pattern becomes clear. In the modern world, there are times when complexity needs to be embraced, and times when it needs to be simplified.  Pivoting between the two extremes is an important skill.

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Supporting a Technology Team

Technologies build the future. Teams deeper in a technology than ourselves are all around us – providing support at a vendor, evaluating you as a customer, reporting to you, supporting you indirectly, or in some other format.

0/ People first.

As with any group – a team, regardless of their nature – is a collection of individuals who have their own needs, wants and lives. Treat them as individuals, treat them with respect and establish trust. Be sincere. Insincerity is more obvious in demanding situations – trust takes time.

1/ Set goals.

“Tell them the goal, not how to do it – then let them surprise you.” Phil Knight, Shoe Dog

Set clear goals. Create alignment around those goals by getting input and feedback.

A team with a goal that is incorrect will outperform one with no goal. Goals make it possible to budget time and confirm you’ve got the right resources. In the absence of a clear strategic goal, start with basic SMART goals.

Energy is required to create change. Spend energy wisely. Team members who can create success flourish when allowed to show their creativity. Crafting goals and building alignment brings out the most in team members.

A great deal of turmoil, morale issues and other team challenges can be addressed by stating the goal and framing how it can be achieved.

2/ Trust, but verify.

“Make it as simple as possible, but no simpler.”

Start from a position of trust. You need this team because they have capabilities and expertise that you do not have. This team has been chosen over other options (other teams, other methods, or even the option of no team). What is the point in choosing a team that you do not trust?

Ask questions to help the team educate you. Be prepared. Do not flaunt your preparation. Do not, do not, do not reference worthless credentials from years ago. If the team cares about your credentials, or if the team wants your background – they will ask. You are in their world and you need their help. Your effort to understand and your ability to keep your mouth shut is your passport that allows you entry.

Questions may uncover a Trust Issue (TM), or an Obvious Unstated Issue (TM). Individual questions can yield better results than group dialog in these scenarios. Allowing avoidance of embarrassment can accelerate dialog. Crafting scenarios which allow reversal of past beliefs permits open dialog. Creating social permission for change is a valuable skill that benefits from facts and transparency.

3/ Teams outperform individuals.

Modern technology problems are most efficiently solved with teamwork. Open debate and collaboration will beat a brilliant individual functioning as a top-down, command-and-control leader. A good team will beat a brilliant individual. A good team of brilliant individuals is unstoppable.

4/ Methods beat goals.

Teams should craft their own plans to achieve the goal [1]. Drafting a plan for a team may work – but over time this is less effective. A team that drafts a plan owns the plan. Teams that draft their own plan show more creativity, more resilience and are more likely to succeed than teams that simply follow instructions. Using well known methods allows the team to deliberately move ahead and provides insurance if it turns out that the original goal [1] turns out to be incorrect.

Goal modification is a fact of life – robust methods are insurance against such changes.

A plan, once drafted, is put up for debate. The dialog should be open and collaborative. Debate and input from all is important. Identifying as many of the needed steps and dependencies is essential. (In a perfect world, we should follow Goldratt’s Theory of Constraints and Critical Chain Project Management methods. That can take time to implement.)

With steps identified, time and resources can be identified. Milestones are often needed to anticipate approval steps and future sign offs.

5/ Share context.

Resistance can come in many formats.

“We don’t want to set a goal, as we haven’t hit one in this industry yet.”

“We don’t want to set a plan, as we know it will change.”

Team’s come with their own history and their own context. Things that worked for you may have just failed for them. We know from [1] that ordering people about is a short term tactic that eventually plays out.

Resistance needs to be met with context and patience. Commercial perspective is often important in helping a technology team understand the goal and develop suitable solutions.

Teams will often want context from someone other than you. This is normal and if possible can be a great way to encourage a broader perspective.

6/ Create transparency.

There are many ways to create transparency – especially as the Goal is published and reinforced. Good plans allow for simple metrics to track progress – often referred to as Key Performance Indicators (“KPIs”). Picking the right KPIs is part of the debate.

Finding the right KPIs is also part of the debate. Great KPIs allow quick benchmarking across teams. KPIs track progress across time if peer projects are not available.

“Same book, different chapters.”

Transparency can slide into information overload. Big projects have many facets. Every team member can’t possibly know every part – in the same way that a leader cannot know every activity of the team. All parts of the plan must be internally consistent. Different parts of the team may read different chapters, but each chapter is from the same book.

7/ Small teams are good.

“Figure out the right number of people and remove one.” – Bill Gates

Teams require budgets. Leaders who measure life accomplishments by headcount are unlikely to beat those who focus on profitability. Large teams require coordination that cost time and effort. Technology has many components and requires integration of many fields – excess team members cost more in coordination than they pay back in productivity. Teams should be as small as possible. And then get rid of one person.

The small team that has been built should have as many possible skills that help achieve the goal given the number of people on that team. Diversity is good. Diversity comes in many flavors; functional role, geography, education level, gender, race and more.

Broad perspective accelerates the debate required of good planning. Leaders of culturally narrow teams must be active in creating feedback loops.

8/ Remove constraints.

Constraints stand between the team and the goal. Constraints may arise even earlier – preventing the setting of a goal or the creation of a plan. Remove and address constraints as they arise. If there are no constraints – evaluate and reframe goals to uncover constraints.

A system that has no constraints is not operating at capacity and resources can be deployed elsewhere. If constraints are not clear, simulating a repetition of the goal can be useful in identifying other considerations.

“What if we hit the goal, but then the company / customer / market needs us to do it all again, but in 1/2 the time?”

Leaders set goals, facilitate planning and remove constraints. Constraints come in many forms. Leaders can often create more constraints than they remove when working with new teams!

Christensen’s “Resources / Systems / Priorities” framework is effective in highlighting possible constraints. Large companies often find constraints in too many ineffective systems and too few useful systems. Small companies find constraints in resources – most often in personnel or assets. Both large and small companies can be constrained with poor use of priorities.

Sidenote: Firing a Colleague

Any ethics violation or insurmountable Trust Issue(TM) merits a firing. Fraud, gross negligence, safety and health issues are not tolerable. In these scenarios, firing should be assumed, with the onus of explanation being on the individual. Thorough investigation is required to determine the scope of the problem.

In general, development is the preferred course to termination for an employee with a bad fit to their current role. Institutional memory and respect is important. Firing as a motivational tool for those that remain can be effective only a few times before it causes a major shift in the company’s reputation among potential recruits.

A underperforming individual should be fired when:

• Coaching is not effective.

• Any possible new position interferes with the project where they were previously staffed. If they can’t let go after having been moved on – then they will slow the progress the company needs.

• It has been shown that they do not have the skill set needed for the position they are in, and it isn’t possible to coach them up.

• If an employee has been put through a notice and improvement process, but not shown effort to improve.

• The individual has shown continual, repeated failure over a long time horizon and not shown enough initiative to improve the company’s position.

• Failure without learning is costly.

 

Posted in Uncategorized

Biology, populations and VC

The meadow voles we found each morning in our traps were tiny, hardy animals who endured the weighing and tagging before being re-released. There were thousands of them in the fields of Blandy Farm or Mountain Lake, the field research centers at UVA where we were performing research as part of our undergraduate degree programs.  The field mice fed on the seeds and fruits of the grasses and shrubs, storing food for the winters in their burrows. The burrows and seed travel were essential to healthy populations of the grasses and other fauna. Everything played together in a food web. Our sensors were advanced for the 1990s – the size of a clothing iron, they picked up the movements of specimens we tagged and released.

cuckoo-birdThe farms and research centers had plots that systematically studied forest succession going back 200 years – mapping which new plants and animals returned to, or fled from, forest land that had been cleared while the Founding Fathers of the US were still alive.  Mice populations would boom when trees were cut and grass could grow high, providing them with shelter.  As the trees grew tall, they gave grass-killing shade and provided perches for owls and other predators of mice.  Too many owls and the mice are gone, which then hurt the owls.

Finance Supply Chain

The financial services supply chain has many parallels to its food web cousin in biology.  A population of businesses is like any other species – paper makers beget more paper makers via spin outs or new plants.  Food companies beget more food companies.

Imagine the happy industry like the European magpie, with a growing clutch of new eggs (or future businesses) that it is happy to see mature.  But then the cuckoo shows up, representing venture capital.  The cuckoo lays its egg in the magpie’s nest and proceeds to fly away.  The cuckoo hatchling is bigger than the magpie brood cohorts.  It squawks the most, takes up space in the nest, many times pushing the offspring of the magpie out where they fall to their doom.  This is bad for the magpie, which raise the cuckoo as their own.

The cuckoo also needs the magpies to reproduce.  A population of cuckoos depends on the magpies, without which, there are no more cuckoos.

In the 2000s every ‘good’ buyout shop would talk about their database of companies and how it provided a proprietary sourcing angle.  Such data is easily available now on a subscription basis.  At the time the Internet was still a novelty.  The population of buyout-worthy businesses was over hunted, like the passenger pigeon or the American Bison.  Too many predators were released and they hunted their target population to the point where few are left.

It takes a great deal of time for populations in biology to mature.  Different, emergent behaviors develop over time.  It took decades for the buyout population which was harvested in this time period to develop, and the one that comes next will grow up in a very different economic environment.

[Seeing a group like Foundry support Tech Stars and bring in people like Chris Heivly is great.  The cuckoos need the magpies.  The populations play together.]

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6 Ways to Get the Most out of Day 2 – #ISUM16

It’s Day 2 of the Internet Summit in Raleigh, NC.  Here are six ways to get the most out of it, based on what was shared on Day 1.

  1. Enjoy.  You’re out of the office.  Like Al Madrigal said – you’re out of the office, put the phones down.  There were as many people in the room for the keynote yesteday as there were at Dreamforce 4 and the vibe felt the same.

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    Day 1 Keynote

  2. Have a plan.  Arnie Kuenn of Vertical Measures reinforced this in his pre-conference work shop.  What is your plan to get the most out of Day 2?  Why are you here?  What metrics are driving you and how will you be sure you accomplished your goals.  Spend a few minutes looking at the agenda to make sure you’re getting the right input and think through how you will follow up afterwards.
  3. Learn.  Rand Fishkin‘s keynote talked through all the ways that conventional ideas of modern
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    Fishkin’s reasons that content marketing fails.

    marketing and content creation can be wrong.  Learn the right ways to make data driven decisions to accomplish your goals.

  4. Think platforms.  Viveka von Rosen‘s coverage of the value of LinkedIn as a platform opened my eyes with her observation that, “This is a platform where the users are primed to buy, primed to make decisions.”  Everyone knows the value of Facebook as a platform, but Andrea Vahl‘s observations on how to work a prospect funnel and the impact of AB testing provided insight on the unique capabilities of this platform.
  5. Find tools.  Everyone gets better with the right tools.  Small improvements in yield matter.  The exhibitors provide resources and real value – I was a big fan of SwagChimp, and realized I needed to be using something like Calendly as well.
  6. Dogfood.  This hit home in Kuenn’s talk – if you are here to learn about best practices in modern marketing outreach, then you’ve got to live it in what you do.  His observation was that Vertical Measures couldn’t preach the value of content marketing as an agency if they weren’t doing it themselves – we can’t pass on the lessons learned here unless you’re using it in what you do.
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The Best SaaS Product I Ever Saw was built by a Towtruck Company in 2006

tow_truck

Towtruck-as-a-Service in 2007.

In 2002, after joining a former customer in the electronics industry which had raised $30 million, we went through a CRM evaluation.  The VP of Sales and VP of Engineering were at odds over the rate at which we were qualifying customers for production, and it seemed logical that taking the data out of .xls and into a more modern method of analysis would help answer the necessary questions.  Many vendors wanted our business.  Oracle’s presentation included speakers, dim lights, fancy videos, and the first over-the-ear microphone I’d ever seen someone wear in person.  It also came with a ridiculous price, as did all of the other options save for one.

Salesforce.com came with a reasonable pricetag, and even if we failed, we would know quickly, and be able to sign up Oracle or one of the other vendors within half a year.  There was low penalty for failure.  Two years later working for  a private equity fund-of-funds, I turned to Salesforce.com again to build our internal CRM infrastructure.

“Excel is your tool.  Like a hammer for a carpenter.  It is your tool.”  This had been guidance as an analyst starting in investment banking.  I turned to Salesforce.com as a tool – my most recent implementation was just in 2015, and that was in the most challenging industry and cultural dynamic that could be encountered.  I didn’t understand that Salesforce.com was SaaS until in 2004 the team at Emergence Capital approached the fund-of-funds I was with and pitched that a venture capital fund focused on the SaaS space would outperform others.  They defined SaaS – I’d never heard the term before.

“It is going to be possible to buy everything, anything, in the same way you pay for Salesforce.”

They were right.

I was fortunate enough to then spend some time with Internet Capital Group out of Philadelphia.  Their name had been spoken in whispers while working in banking as their market cap crested at astronomical values, before dipping down to reality.  They pivoted to focus on SaaS, which remains their focus as Actua.

Philadelphia is also the home of Milestone Partners, a buyout fund – and they invested in the best SaaS business I ever saw.  United Road Towing (“URT”) did not sell software.  Rather, they were a provider of towing services both to individual locations and to municipalities.  URT had invested heavily in software, and in so doing had built out a SaaS capability that was extraordinary given the timeframe.

In 2006 a URT driver could:

  •  Access their Panasonic Toughbook(TM)
  • Get route guidance to minimize traffic and fuel
  • Optimize loads for outbound and inbound trips to maximize profitability
  • Provide real time input to other drivers – “traffic stinks”, “there are lots of vehicles to tow here”, etc.

The tow truck industry wasn’t ready to be Uber-ized.  The team at URT had developed their capabilities internally.  They didn’t go sell them to other wrecker services.  Instead, they used what they had to dominate their competition.  Now they are the largest provider in the US.  They could use their know how to bid intelligently on large municipal deals.

Maybe now the world would be ready for ‘Towing-as-a-Service’, but at the time it wasn’t. URT didn’t try to force the X-aaS business model onto the rest of the world.  Instead, they just dog-fooded and won their market.  They are still winning today.

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