StartupNorth

Tag: metrics

  • A Perspective on Investor/Mentor Whiplash

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    The other day Fred Wilson posted an opinion and some tips on Investor/Mentor Whiplash. He took the position that that is a big problem for accelerators as well as early stage and seed environments. Brad Feld took this as a bit of a misunderstanding on accelerators, he insists that TechStars creates an environment where early stage companies can learn to manage the whiplash. Brad Feld states:

    I disagree with Fred. It’s not a big problem. It’s the essence of one of things an accelerator program is trying to teach the entrepreneurs going through it. Specifically, building muscle around processing data and feedback, and making your own decisions.

    On the surface this seems correct. A problem (one of many) new founders face is the overwhelming barrage of mentorship (good and bad) and information mixed with the inability to filter. An accelerator should be able to provide the environment where a strong group of peers with some guidance can help to build the “muscle around processing data and feedback.” In the last 6 years I have noticed that is a common problem founders face and their ability to manage it is important to their success. It wasn’t until I experienced the whiplash myself a 2nd and 3rd time that I fully appreciated the damage it can do even if you are prepared for it.

    Generally what I tell early stage founders:

    • Only talk to customers once you have something to show them — but that shouldn’t take you a long time, don’t go heads down for months. Asking people what they want and not focusing on something specific they can touch/feel is a path to busy work and infinite sadness.
    • Avoid the mentor parties/socialization. Find two (or three) good people with opposing views and bounce specific data off them but only when you have done something that requires fresh eyes to advise you how to interpret the results.
    • Focus on what isn’t working when getting feedback from mentors. Founders need to be positive but you need to focus on the bad things when talking to your close mentors that have been through it already. If they can’t help you with the tough stuff why are you spending a lot of time with them?
    • Don’t expect a direct answer. Experienced mentors know you are the best person to run your company, not them, and they have developed a way of not telling you what or how to do things but instead challenge you to figure it out in a positive way.

    Whiplash from mentors doesn’t just happen in startups, it happens everywhere people are giving you advice or have something to gain by influencing the decisions you are about to make or the opinion you develop on something.

    Being prepared and learning to manage the whiplash isn’t just the essence of accelerator programs, it is the essence of education that culminates in the top level you can achieve to filter information – a phd program. At the phd level the filter muscle is almost too strong but that is a topic of a whole other blog post.

    The scary thing for entrepreneurs is that accelerator programs are too often run by people that don’t know how to effectively educate people and/or they have something to gain financially by the decisions founders make.

    I think this *is* a big problem in accelerators. I wonder if the ability to teach that skill to founders (or select founders that already have that skill) is the difference between a successful accelerator (which is really only TechStars and YC) and one that isn’t (pretty much everyone else)?

    [Editor’s note: This post was originally posted on Jesse Rodgers’ Who You Calling a Jesse blog on July 31, 2013.]

  • Hiring your first sales rep: 10 tips and common mistakes

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    How many times have you been at an event and met someone who gave you the pitch “I have this great idea, I just need someone to build it for me” or some variation of that?

    This has become such a cliche in startup circles that it’s almost cringe-worthy. If all someone has is an idea then they’ve basically got nothing. As the old Edison quote goes “genius is one percent inspiration and ninety-nine percent perspiration.”

    That being said, the other side of this pitch doesn’t get a ton of attention even though the problem is just as common.

    There are lots of startups that build pretty solid products but never end up getting traction because they don’t figure out the sales and marketing side of things.

    You don’t see a lot of technical founders searching for business development help, mostly because many engineers don’t even know they have a problem. They spend a year in their basement building the most amazing solution to a problem nobody has. When they do finally surface they discover that 6 of the 10 assumptions they made were wrong, and usually give up soon thereafter.

    I’m an engineer, and I’ve seen this problem come up first hand. One of the most basic ways to avoid it is to start focusing early on customer validation. What that means in the most basic terms is to not write a single line of code before you talk to a few dozen customers who tell you unequivocally that they will buy the thing you’re thinking of building.

    As you talk to customers tweak the pitch until you have 9 out of 10 potential customers telling you that they will pay money for what you’re planning to build (hint: 8 of them are lying.) This is your first step towards developing a sales process.

    You (or your co-founder) need to learn to sell. Frankly, it’s not that hard and it’s mostly about persistence when it comes to getting a few pilot customers – they’re going to be early adopters, they won’t expect a polished sales pitch. It’s essential that this basic sales and marketing expertise lie within the core team. Which brings me to the first tip about hiring your first sales reps:

    1. Learn how to sell and develop a basic process.

    The most common mistake technical startup founders seem to make is to try and cop out on the sales part of the business. They feel they don’t know how to sell and are worried that people won’t take them seriously because they don’t have grey hair. So they hire an experienced sales guy (a friend of a friend,) give him ownership of all sales and just sit back and wait for the deals to flow in. It seems like such a plausible idea (it’s exactly what I did with Top Hat Monocle) and yet I’ve never once seen it work out. You need to learn to sell. It’s actually a skill very similar to raising money, so it’s something you’ll need to do anyway. Learn to sell just well enough to close the first few customers and develop a basic process that you can plug someone into.

    2. Find reps who have experience with the same deal size and sales cycle as your product.

    If your product costs $200 per month and has a 1-2 week sales cycle, don’t hire some with enterprise experience who’s used to closing three $500k deals a year, it won’t work out. A match on deal size and sales cycle is probably the best predictor of whether the rep will be a good fit.

    3. Experience within your industry is useful but not essential if your product isn’t too complex.

    Focus on item 2 above. Unless you’re selling a very complex product with a long (6 month+) sales cycle, don’t worry about industry experience.

    4. If it’s a technical sale, tech savvy matters.

    Don’t hire someone who barely knows how to use a computer to sell a software product. Frankly in general you should only hire people with basic technical literacy because otherwise you will be explaining to them how to use the CRM and your webinar software 5 times a day.

    5. Sales reps are great bullshitters – ignore their words.

    Only look at verifiable track record to assess the rep. This means getting a printed record of their quota attainment at every sales job they’ve had, then verifying that record with their supervisor. Anyone who hasn’t consistently blown away their quota at every job is a risk.

    6. Place minimal value on prior contacts and rolodex.

    The rolodex runs out after about two weeks. After that it’s all about prospecting and hard work. Don’t ever overlook a lack of experience or cultural fit because you feel the rep has a rolodex of clients they claim they’ll bring with them (they’re probably exaggerating anyway, see #5 above.)

    7. With personality, focus on work ethic and motivation.

    Sales is repetitive hard work. When hiring reps look for work ethic and drive. Look for people who need to earn a certain amount of money to maintain their lifestyle due to financial obligations – a big mortgage is the best motivator to hit quota.

    8. Over time start to specialize your sales team.

    Lead generation and research. Appointment setting. Follow ups and closing. Each is a separate role. You should segment by task and eventually by customer size or market. It may not even take that long for it to make sense to do this – we started specializing at Top Hat Monocle when we had just 3 reps.

    9. Sales reps will maximize their paycheque above all else.

    At least the good ones will. You need to ensure your compensation plan incentivizes sales and has relatively short term rewards. This typically means at least 50% of overall earnings should be from commission and there should be a monthly performance based commission payout. Don’t try to hire people on 100% commission, because you will likely only attract flakes who waste your time and never deliver.

    10. Metric everything. Obsessively.

    How many calls per day does each rep make. How many emails. What is the conversion rate on email responses. How many meetings does each rep go on per day. How many inbound leads are being generated. What is the time from inbound lead to follow-up. How many foliow-ups does each rep do per day. What is the mean time between follow ups. Everything. Metric everything.

  • Meaningful metrics for incubators and accelerators

    Editor’s Note: This is cross posted from WhoYouCallingAJesse.com by Jesse Rodgers, who is a cofounder of TribeHR. He has been a key member of the Waterloo startup community hosting StartupCampWaterloo and other events to bring together and engage local entrepreneurs. Follow him on Twitter @jrodgers or WhoYouCallingAJesse.com.

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    Incubators and accelerators are businesses just like the businesses they intend to help develop as they travel through the startup lifecycle. As with any business, there are indicators that they can measure to give them a better idea of how they are performing besides the big public relations buzz around a company being funded.

    You need to measure these numbers so that when a success happens you can hopefully gain some insights on how to help the other companies better. The problem is that even though the model of an incubator or accelerator is generally known, how to take 10 companies and have 10 successful growth companies come out the other side of the program is not.

    The issue of what metrics to use is an important but complicated problem to solve.

    Set the baseline at the application process (pre-program)

    There are far more applicants than slots offered in an incubator or accelerator program. However, it is at this point that a program is gathering it’s best intelligence. You need a baseline measurement at the start of the program that you can measure every team against. What you should be tracking:

    • Who applied to the program that you didn’taccept (this is your control sample)
      • Track their progress on Angellist, Crunchbase, and/or go back to their web site in 3, 6, 12 months.
      • Keep a ratio of who is still in business and what their status is.
    • Maintain, in a CRM system, information on the applicant founders and their team members.

    Measure the incubator/accelerator clients (in-program)

    At this point there are X number of startups with Y number of founders and maybe Z employees. What you want to measure are things that demonstrate they have improved (or not) and which are things you would expect to see improve as a result of the services provided by any incubator or accelerator:

    • Current customers and revenue per customer (for most that will be 0 at the start) that will work across revenue models: CAC, ARPU, churn rate.
    • Sales funnel – do they have leads? How many? Are they qualified leads? What are they worth?
    • Average user growth in the last month.
    • What mentors or advisors did they meet through the program? What role did they take with the company?

    Run these numbers at the start and at the end of the program. If you are a pure research focused incubator, ignore this section. You have a much longer time to see success – but few are truly research focused.

    Monitor the graduates: Alumni (post-program)

    This is a very important thing an incubator/accelerator can do — build and maintain its alumni connections. These folks not only help at every stage of running future programs but their success lifts the profile of the program, just like how alumni of prestigious business schools make the business schools prestigious.

    There should be reporting milestones at a set interval (probably financial quarter based) where you gain the following insights on the company:

    • Customer growth percentage: CAC, ARPU, and churn rate all expressed as percentage growth.
    • Sales funnel growth expressed as a percentage.
    • Average user growth in the last month.
    • What mentors or advisors are currently active with the company?

    Ideally you should have a position that is equivalent to a close advisor or board observer with the company once it graduates from the program.

    Defining success

    If an incubator or accelerator program is successful, the graphs should be heading up and to the right at a much faster pace than they would have been had startups not entered the program.

    The only baseline data I know of is from the Startup Genome. In their report they explain the stages and the average length of time it takes a company to go through them. For an incubator or accelerator to demonstrate that they work, I would expect a successful company to move through the stages faster than the average. I would also expect them to fail faster than the average.

    Tracking metrics puts a lot more overhead on an accelerator. It is likely more than they budgeted for to start. However, if you want to know if the program is successful it is worth the investment of an admin salary to track and crunch data. This is just a baseline, track more and figure out what the indicators of success are for you.

  • Quota is not a dirty word

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    “We are ALL in sales” – Dale Carnegie

    I used to think that quota was a dirty word. It struck me as restricting freedom and potentially forced the exploitation of trusted customers and prospects to drive the bottom line results. But I was wrong. In reality, a quota is a number that is useful to incent certain behaviours. The trick is to incent the appropriate behaviours. It is a contract between a sales person and an organization about how to compensate behaviours based on outcomes.

    “Quota is a direct path to clarity and accountability.” – Shawn Yeager

    So many entrepreneurs can benefit from contracts with defined outcomes. I was chatting with a startup last week about the numbers he agreed to with his VC to unlock the next tranche of funding. He mentioned that he wasn’t going to meet the numbers, but he still expected the VC to unlock the funding. My advice to him was very straight forward, it was to figure out how to achieve the agreed to numbers, or immediately open a conversation with the VC about missing the numbers due to changing market conditions and see if the tranche can be renegotiated. In the case of this entrepreneur, the numbers were in the funding contract, and I fully expected the VC to hold the entrepreneur to deliver on these numbers. The numbers and metrics exist to help assess the risk and the ability of an entrepreneur to deliver.

    The secret with an early stage company is to set appropriate metrics, quotas and growth numbers that incent the correct behaviours out of entrepreneurs. The good news is that there are a lot of examples of SaaS, B2B and consumer metrics that can be used.

    There are a lot of different sources of metrics and numbers. Each of the numbers needs to be considered in corporate revenue goals, past historical performance, current product development stage, market share, budget, etc. The targets and growth numbers need to be established.

    I’ve taken to requiring all of the startups I mentor, to establish 3 metrics that we discuss in our mentorship meetings. Each of the metrics must be clear enough for me to understand, for example:

    • Number of paying customers
    • Number of registered users
    • Churn rate
    • Number of pageviews or unique visitors

    And each metric should have the current measurement, the predicted growth rate and the actual target number. I try to start each conversation around the metrics. And any issues related to the market conditions, learnings, corrections, etc. Then together we set the targets as part of the planning for the next meeting. This may include a redefinition of the metrics. The trick for me as a mentor is to try to help identify what metrics I think are most useful for the startup and founder to focus on next.

    What are the metrics other entrepreneurs track? How do you set your targets and quotas?

    What are the metrics and growth rates that investors like ExtremeVP, Real Ventures, iNovia Capital, GrowthWorks, Rho and others want to see from prospective early-stage companies?

  • One small step for startup kind

    “I believe this Nation should commitment itself to achieving the goal, before this decade is out, of landing a man on the moon and returning him safely to earth. No single space project in this period will be more impressive to mankind, or more important for the long-range exploration of space; and none will be so difficult or expensive to accomplish." – John F. Kennedy

    Yesterday was the 40th Anniversary of the lunar landing. The Apollo program is an interesting concept for early-stage startups. It was a self-imposed race to beat the Soviets. A lot of startups need to feel the pressure to succeed, and having timelines, constraints and competition often helps amp up the sense of impending doom.

    For the Apollo program there was competition. There were extreme timelines. There were budget constraints. All of these were much bigger and longer than the plans for startups. But there was a clear goal (“landing a man on the moon and returning him safely”), and constraints (“before this decade is out”). And most importantly the money wasn’t the end, it was a necessary means to accomplish the larger goal.

    Clear Goals

    Beating the Soviets. Recovering national pride after the failed Bay of Pigs invasion. It was an effect of the Cold War. But there was competition. The historical analysis of the program looked at a variety of success factors including Big Hairy Audacious Goals that included:

    • “a chance of beating the Soviets by putting a laboratory in space”
    • “a sporting chance of sending a 3-man crew around the moon ahead of the Soviets”
    • “an excellent chance of beating the Soviets to the first landing of a crew on the moon (including return capability, of course)”

    The definition of goals included both the engineering constraints but also a prediction of the potential of the competition. Startups need to set big goals. The goal should specify the desired outcome, not the path/method for achievement. 

    Competition

    The goals need to be in context of their operating environment including that of their competitors. I really hate when an entrepreneur tells me they have no competitors. The number of times that this is true is rare. Most companies and products have competition. Stop being afraid to talk about your competition. Understanding where you fit in the competitive landscape can help you figure out your product offering, your time to market, potential marketing events. It makes it a lot easier to know who is the bad guy? Trust me, you should be diligent and honest about who you are competing against. Having a clear competition makes it easier to see where you should spend marketing dollars, what conferences to attend or avoid, and build strategies that either embrace or ignore the competition.

    Constraints

    Money is one of the easiest constraints to understand. Unfortunately, when you’re working part-time out of your basement/garage/spare room, you don’t have the impending sense of doom that money is a constraint. The runway for side projects is a long. I think this leads to thinking that raising money is the end goal.  “We’ve raised a million dollars”. This is meant to be the beginning of the journey. The money is for a purpose, it’s meant to help you grow, build, market, acquire, etc. Raising money enables you to do the real work. It allows you to either increase the rate of acceleration or lengthen the runway. But it’s just the beginning. Equally said, SR&ED is a great benefit to companies, however, when you decide to focus on SR&ED credits to keep the company afloat instead of finding new customers you’re doing the wrong thing.

    Money in the bank/Monthly expenses = How long until we are dead – Phil Morle

    The change over the past 20 years is that the monthly expenses have decreased. It no longer costs hundreds of thousands of dollars for hardware, development environments, net access, etc. The price of servers continues to fall, and with the advent of cloud computing and dynamic loads it is becoming variable with the load on your site or application. Development environments are free. Usually the single biggest cost for a startup is talent. Oh wait, you’re not paying yourself and you don’t have any employees. This has 2 side effects, it reduces the monthly expenses thus lengthening the runway, but it can also have adverse side effects like not forcing entrepreneurs to be self critical of their ideas and their progress. 

    Figure 1: The Startup Runway 
    Figure 1: The Startup Runway from Phil Morle on Pollenizer

    I like Phil Morle’s method for using the runway:

    Pick a date in the future (this is point D on Figure 1). Let’s say 18 months from now because that’s roughly what John Doerr of Kleiner says is good runway. And then begin working backwards, determine the point where you will need raise more money or find a paying customer (this is point C). This point needs to be a few months before the end of the runway to allow you a margin of error and the time necessary to close financing or the deal. Continuing backwards in time, you need to be at feature complete (point B on Figure 1). Yes, there is a long time between points B & C but this is to allow you to drive adoption, build press and momentum and refine your existing product and pricing. It brings us to right now, what is the minimum feature set that you can plan, design, build, test and deploy between now and 6-12 months from now.

    Lessons for Startups

    “Startups fail from a lack of customers, not product development failure” – Steve Blank

    You’re goal is to prove your business before time runs out!

    1. Define the end of the runway
    2. Set clear goals and metrics that will prove your business
    3. Identify the constraints – financial, talent, technological, etc.
    4. Focus on customers and markets from day one

    Additional Reading