Merry Christmas and Happy Holidays! Christmas is a great time to reflect and give thanks. Here are a few previous posts on celebrating and giving thanks in startups:
One strategy startups should consider is packaging the same product into multiple products. There are three common ways this is accomplished:
Segment the same product into different editions where features or usage rates are changed (e.g. group, professional, enterprise, and ultimate editions)
Apply an industry specific name to the product (e.g. technology, healthcare, financial services, etc)
Make the platform (same code base) divided into separate, but related products, available independently or combined a la carte (e.g. marketing suite, sales suite, and support suite)
Most often, one size does not fit all and buyers like to buy when a company speaks their own language. My recommendation is to consider ways to package the same product into multiple products.
Earlier I talked about how most startups are more valuable on day 0 than on day 100. Now I want to talk about how capital, and access to capital, becomes cheaper as a startup grows. You see, through the concept and seed stage of a startup, you’re most likely bootstrapping, investors outside of Silicon Valley aren’t likely to invest, and banks won’t lend without hard assets. Once you hit the early stage ($1M+ run rate) and growth stage ($5M+ run rate) capital starts getting cheaper and cheaper.
Capital starts getting cheaper and cheaper because risk in the business is removed as revenues become more and more substantial. The risk of a market not being present is changed to more of an execution risk. Execution risk is much more understood than is-there-a-business risk. With revenues in the millions banks will do more substantial lines of credit based on receivables as well as recurring revenue. Investors, especially venture capital and private equity, is plentiful for fast growing, profitable startups with millions in revenue. Capital is cheaper and more accessible as a startup grows.
What else? What other reasons is capital cheaper as a startup grows?
One aspect of growing a company that I didn’t consider 10 years ago is building a leadership pipeline. The idea behind a leadership pipeline is that a startup can only grow as fast as its people grow and managers need to grow with the business. Think about the following:
Co-founders working together
Managing direct reports
Managing managers of direct reports
Managing executives who are managing managers of direct reports
Managing executives who are managing managers of managers of direct reports
So, the goal is to promote from within whenever possible, so some front-line employees need to be groomed into managers, and then managers need to be groomed to be managers of managers or executives, and so on. My recommendation is to consider building a leadership pipeline as your startup grows.
What else? What other considerations do you have about a leadership pipeline?
Generally, I’m more of a fan of doing rather than planning but I understand the importance of getting everyone on the same page. With that said, it’s important to plan in a way that’s relevant to the size and stage of the startup. Yes, a 100 page business plan for a company not yet started is almost always overkill. On the other hand, a one page plan is almost always the right size for leadership purposes.
Here’s how I think about the planning frequency at different startup stages:
Concept stage — get out there and talk to as many people as possible and iterate quickly
Seed stage — weekly strategy sessions to digest new information and make a plan for the following week
Early stage — monthly planning and milestones; enough to move fast while still keeping everyone on the same page
Remember the scientific method as a kid in fourth grade science class? Well, all the same principles apply to startups. Let’s review the scientific method courtesy of ScienceBuddies.org:
Ask a question — what business problem or unmet need do you want to solve?
Do background research — talk to as many friends and colleagues as you can about your idea and get firm commitments from people that will use it.
Construct a hypothesis — decide what angle you’re going to take and build a minimum viable product.
Test your hypothesis by doing an experiment — put the product in the hands of your committed users and get their feedback.
Analyze your data and draw a conclusion — look at the results and decide if you’re on the right path.
Communicate your results — talk to your committed users and share your next iteration or pivot (if applicable).
The scientific method maps perfectly to the world of lean startups and should be used liberally.
What else? What are ways is the scientific method applicable to startups?
One of the most common terms used to describe growth in a startup is a hockey stick. The idea is that things like users, page views, or revenue starts growing at a normal linear pace and then, once an inflection point is hit, growth takes off at an exponential rate. Here are a few things to keep in mind regarding hockey stick growth for startups:
The initial phase of linear growth can be for years before the right product/market fit is found and the market is ready
Startups with a network effort or strong viral nature are more likely to experience this type of growth
Growth will start to level off at some point and it’s important to be cognizant of when that’s on the horizon as high growth and slow growth present different types of challenges
Being part of a startup with hockey stick growth is an amazing experience that doesn’t happen too often. Startups should pay attention to their growth pattern and understand when the linear growth turns into exponential growth as well as when it turns back into linear growth.
What else? What are some other things to keep in mind about hockey stick growth?
Continuing with yesterday’s post on The Search for a Business Model it’s also important to think through when to pivot in a startup. A pivot, or iteration, is when you take information learned and make a change to the business model, some changes more dramatic than others. Here are a few items to keep in mind when considering a pivot:
Think through the core strengths of the startup and consider pivots that play to those strengths as well as experience already gained
Talk to as many people as possible about the current thesis and pivot when it’s clear it isn’t working (e.g. talk to five companies and consider pivoting if you don’t pick up any new clues or meet milestones)
Ask yourself if you’re making enough progress in your current direction and if you’ve encountered any related ideas that are more promising
Don’t be afraid to keep your current offering up while you explore new ideas, you never know what information you might learn in the interim
In general, I’ve seen that people don’t pivot soon enough and continue down a path that isn’t working. My recommendation is to pay close attention to progress, or lack of progress, with the current business model and don’t be afraid to make changes quickly based on new information.
What else? What other tips do you have when thinking through pivoting in a startup?
When an entrepreneur starts telling me about their business I always try to tactfully ask a few qualifying questions like the following:
What’s going well?
What isn’t going well?
Who’s your ideal customer?
What vendors do you replace or is it a greenfield/unvended market?
How long is the sales cycle?
That last question “How long is the sales cycle” starts to get at the maturity of the business as well as if it is a revenue generating company or a startup in search of a business model. Most are in search of a business model. The search for a business model is one of the most difficult parts, hence an area most entrepreneurs get stuck, and go out of business if they don’t break through. Note: I’m talking about innovative businesses and not replicative businesses.
Here are a few thoughts on the search for a business model:
It takes time — if you do it under 12 months you’ve done an amazing job
Expect several pivots/iterations as you collect more information
Pick a small, fast-growing market if you want more room for error as a great market makes up for many mis-steps
Don’t be too tied to your original thesis but do pay attention to the core of what you’re good at doing
Pretend like you’re a detective and need to talk to as many people as will listen, but know that only once you’re paid for something will you start to get deeper insight
The search for a business model is filled with high highs and low lows. Know what you’re getting into and keep an open mind throughout.
What else? What other tips do you have during the search for a business model?
How many times have your heard someone say “that technology would be easy to build in a weekend”? My immediate response is that most technology companies aren’t successful based on their technology alone. In fact, it is a useful exercise to understand potential competitor metrics and resource allocation when thinking about getting into a market. Here are some items to consider:
How many employees does the company have and what percentage are allocated in areas like sales and engineering (use LinkedIn to find this out)?
Where does the company advertise and how much are they spending (do a Google search and see how high their ads rank as well as use a service like SpyFu to understand more metrics)?
How many Twitter followers, Facebook fans, and RSS subscribers do they have?
So, the next time you think about creating a product or pivoting into a different market, use some of these techniques to better understand competitor metrics and resource allocation.
What else? What are some other tools you use to analyze competitors?