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How an Investor’s Behavioral Traits Might Completely Derail Your Pitch – Part III

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This post continues the discussion about how behavioral psychology might affect the outcome of a meeting at which a startup team is pitching to a potential investor. You can get caught up by reading part I and part II. My goal is to offer some advice on how entrepreneurs pitching to early stage investors might prepare to mitigate the problems that I have seen arise during some pitches because of the behavioral traits of investors.

Each investor has a unique psychological disposition that will affect how that individual will interpret the information that is presented during a pitch. In this post we’ll focus on emotional biases.1 The cognitive errors I discussed in the first two posts in this series arise from constraints investors face as they process information that is unfamiliar. Generally, an entrepreneur pitching to investors should be able to develop a strategy to mitigate the potentially negative impact of cognitive errors on the outcome of a conversation with investors by making new and unfamiliar information easier to process, understand and interpret by the investor.

Emotional biases do not arise from our limitations in reasoning about unfamiliar information, instead they arise from our basic need to feel good about ourselves and to avoid things that cause us fear and discomfort. An investor’s cognitive processes may be over-ridden by that individual’s emotional biases depending on how the information presented during the pitch is framed, though there is evidence to suggest that some investors may be capable of modulating their emotional responses to informational stimuli in order to minimize the frequency with which they make sub-optimal decisions.2 It is difficult to mitigate the potential negative impact of emotional biases, cognitive errors are easier to work-around by comparison.

Emotional Biases

  1. Regret Aversion: Regret Theory says the choices that investors make are affected by their anticipation of how much they will regret making those choices in the future. Fear of regret can cause an investor to behave unpredictably. Regret aversion is closely linked to loss aversion bias – in both instances the investor frames an investment in terms of gains and losses, and tries to avoid an anticipated future loss (regret) given the same level of current perceived risk. The concept of regret is critical in understanding how people behave in circumstances similar to gambling – high current uncertainty, and lack of insight regarding how to determine the likelihood of future outcomes.3
    • Case 1: Andrew is an early stage investor. His investment process typically relies on relatively extensive background research and analysis before his fund makes an investment. He learns about an investment that is “closing as we speak” with every brand-name investor trying to get in. He is told there are mere hours before the allotment that is still open might be taken by someone else. He makes an investment without going through his fund’s typical process.
    • Case 2: Andrew encounters a startup doing some really interesting work. However, it is not using technology that he is familiar with. Also, the entrepreneur has not yet been able to get an introduction to any other early stage investors that Andrew knows or has heard of. He passes on the investment without studying the problem this startup is solving although it would otherwise fit the other criteria that he typically looks for – it has paying customers, is capital efficient, and has underlying IP. Andrew decides not to make an investment.
    • Analysis: In the first scenario, Andrew likely does not want to regret missing out on an investment which “every brand-name” early stage investor wants. In the second scenario he may not want to regret making an investment when no other early stage investor he knows seems to know about this startup. His fear of future regret is amplified because he is unfamiliar with the technology that the startup is using, and by the lack of social proof.4
  2. Overconfidence Bias or Illusion of Knowledge: Evidence of this bias is demonstrated when the investor behaves in a manner that suggests that he believes he “knows it all” or that he is better at understanding and interpreting unfamiliar information than others, or that he possesses information and insight that no one else does. Illusion of knowledge leads to prediction and certainty overconfidence.
    • Case: Diana is an early stage investor. She is meeting with Alex who wants to tell her about a startup he and his co-founders are building. Alex finds the meeting highly frustrating because Diana does not let him get past the first few sentences describing what they are doing before she incessantly tries to convince him that what he and his co-founders are doing “will never work” because “I have seen it all in that industry and there’s no way that will work.” As a result Alex never gets to tell her about the traction that they are gaining with paying customers, nor could he explain why her assumptions were incorrect because of new discoveries and developments, which in turn make the innovation that Alex and his co-founders possible.
    • Analysis: Diana’s illusion of knowledge bias is preventing her from fully assimilating the information that Alex prepared to discuss. It is also preventing her from questioning the assumptions that she has come to accept about that industry.

There are other emotional biases worth studying. I am focusing on these two only to keep from writing a post that is needlessly long. It is important to note that one emotional bias might give rise to another behavioral trait that works against the interests of the entrepreneur pitching to an investor.

Here is one example. Regret aversion may lead to inadvertent in-group bias amongst early stage investors.5 In-Group bias is the tendency for members of one social group to treat others they perceive as members of the same group preferentially than people they perceive as not belonging to that group. Here is another example. Regret aversion may also cause an early stage investor to inadvertently succumb to the bandwagon effect. The bandwagon effect is the tendency to think, justify or believe something simply because many other people believe and accept that thing.6

In this post I have decided not to suggest mitigation strategies for the cases I have created. Emotional biases are much harder to tackle in that manner, and I do not want to create the illusion that there’s a simple solution that will work every time with an acceptable level of efficacy. Nevertheless, every team that is building a startup and trying to raise funding from early stage investors should spend some time studying how emotional biases might affect the conversations they have with investors, and develop work-arounds that help them get past the communication barriers that could arise as a result.

One key first step would be to study the background of the investor before the meeting. That simple step might help the team anticipate where objections might arise from the investor solely due to cognitive errors, and emotional or social biases.

A process of experimentation is probably the best approach.


  1. I am focusing on those errors described in the CFA Institute’s Level III curriculum. There may be others not discussed here that are nevertheless worth studying and understanding. ?
  2. Frames, Biases, and Rational Decision-Making in the Human Brain, Benedetto De Martino, et al. Science 313, 684 (2006); DOI: 10.1126/Science.1128356. Accessed online on Oct. 26, 2013. ?
  3. Consequences of Regret Aversion in Real Life: The Case of the Dutch Postcode Lottery, Marcel Zeelenberg and Rick Pieters. Organizationa Behavior and Human Decision Processes 93 (2004) 155-168. Accessed here on Oct. 27th, 2013 ?
  4. Social proof or informational social influence happens when people operating under conditions of ambiguity and high uncertainty look for signals from other people about the correct decision. This phenomenon leads to conformity in large groups. There is a Wikipedia entry here?
  5. What You Are is What You Like – Similarity Biases in Venture Capitalists’ Evaluations of Start-up Teams, Franke et al. Accessed online on Oct. 27th, 2013 ?
  6. Here’s a video of Brad Feld from Foundry Group discussing venture bias. ?

Nigerian students and job seekers, prepare for this booming field

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Prepare or gift a new career in 2017. Cybersecurity and digital forensics are careers in high demand and First Atlantic Cybersecurity Institute, Pittsburgh USA (www.Facyber.com) provides the education needed to enter these fields.

Our online learning programs are flexible and affordable and come with a (first week)100% money back guarantee.

Learn about:
– Cybersecurity Policy
– Cybersecurity Management
– Cybersecurity Technology
– Cybersecurity Intelligence and Digital Forensics

Each program category is phased as Certificate (online 12 weeks), Diploma (online 12 weeks), and Nanodegree (1 week live). Our programs are relevant for engineers, lawyers, policymakers, law enforcement, health professionals, students, investors, bankers,insurers, etc as they cover all areas of cybersecurity – from policy to technology to management.

Start today and you can finish your program in a few months with real world skills you can use on the job. Alternatively, gift it to someone you love (cousins, friends, students, children, etc). He/she can begin a new journey to a new career.

New Year Special!
Enroll or gift a certificate program for only $200! Paypal, debit & credit cards, and bank transfer supported across Africa.

The Program Catalog and detailed Table of Contents.
We’re looking for local partners across Africa to help promote our programs. For more, contact Audrey Kumar via info@facyber.com

This post has been updated

List of the top 47 Investors or Funds Investing in Nigerian Startups and Entrepreneurs

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Tekedia has carefully curated the list of the top 47 investors or funds which are putting money to drive innovation in Nigeria. These funds have invested or indicated interests to invest in Nigeria. The current list is available here.

If you have more we missed, please use the Comment section to include their websites; we will update immediately.

Thanks

 

Ndubuisi Ekekwe to Speak at IoT Forum Africa 2017 in South Africa

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The Internet of Things, is the next big wave in technology, with repercussions across the business spectrum. By connecting everyday devices to the internet the Internet of Things opens up a host of new opportunities and challenges for companies, governments and consumers.

The IoT has the potential to solve many of the issues the African continent is currently facing. And many African countries have already embarked on the IoT journey. Zenvus is leading Africa in the AgTech sector.

The potential is limitless. As technology advances and encroaches upon most people’s day-to-day lives in some shape or form, people can expect more IoT enabled solutions that address the unique issues facing Africa.

 There is no question: the IoT is coming to Africa and African businesses cannot ignore it.

IoT Forum Africa 2017 will bring together senior IT executives, service providers, developers and CxOs from diverse fields, with representation from healthcare, manufacturing, energy, utilities, rail, transport and retail to name a few. Zenvus is one of those firms joining others in South Africa.

AFRIT Founder, Ndubuisi Ekekwe, will attend representing Zenvus.

Event holds March 29-30 2017.

Smart Farming in 2017 and Beyond: Zenvus Technology for Innovative Farming in Africa

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It has been a remarkably year, 2016, with its attendant successes and failures for people, industries and nations. More remarkably, it has been a year of great technological strides and achievements with innovations that provided avenues for solving big problems and opening up opportunities, ranging from self-driving cars to Advanced Robotics, Improved Data Science, Genomics, Improved Solar energy technologies etc.

Agricultural stakeholders and technology enthusiasts in Africa also witnessed the introduction of the Zenvus Technology, a unique innovation from a team of highly talented individuals led by Prof. Ndubuisi Ekekwe driven to exploit the ever burgeoning power of technology and science to revolutionize farming output efficiency and productivity in Africa.

“Zenvus is an intelligent solution for farms that uses proprietary electronics sensors to collect soil data like moisture, nutrients, pH etc and send them to a cloud server via GSM, satellite or Wifi. Algorithms in the server analyze the data and advice farmers on farming. As the crops grow, the system deploys special cameras to build vegetative health to help detection of drought stress, pests and diseases. The data generated is aggregated, anonymized and made available via subscription for agro-lending, agro-insurance, commodity trading to banks, insurers and investors”. Prof Ndubuisi Ekekwe.

The Zenvus technology among other things would allow farmers and stakeholders make informed decisions by providing real time data for the farmers and stakeholders thus eliminating guesses on timing, procedure and crops for farming. Indeed, as the American Data Scientist W. Edward Feming quipped , “Without data, you are just another person with an opinion” we have long continued to rely on opinions and poor forecast to make decisions on Agricultural investments and this has taken a toll on agricultural yield. The technology also provides data analytics that relate information on possible outbreak of pests and diseases in farms which usually reduces yield, allowing farmers to initiate preventive measures.

This is a timely innovation for an industry that has been tipped to boost many economies in Africa with many African leaders pledging commitment towards Agriculture in the present and future. It is also a peerless stride in an industry seldom associated with innovation in Africa. However, as continuous push is being made for a deeper penetration of mechanized farming in Africa, it is necessary to remind ourselves that Agriculture has remained an industry driven by innovation and technology in the developed societies. Agricultural yields have been maximized through innovation, technology and science as demonstrated by countries like Israel. In the economic account of Israel in their phenomenal book, Start-up Nation, the authors recounted that President Shimon Peres had asserted that Agriculture is ninety-five percent science and five percent work. This drove his underlying commitment for innovation in Agriculture which saw Israel increase its agricultural yield seventeen times within twenty-five years.

The promise of this innovation is apparent and its impact is scalable and measurable. Little wonder that within months of its introduction, the technology was a finalist of the 2016 Singularity University Food Grand Challenge and have been featured in many leading technology reviews. The technology has also recorded noteworthy milestones within the last 6 months of launch, such as a grant support from Facebook to develop the artificial intelligence which will power farming decision making via Zenvus Bot which is on beta at the moment.

The technology has also been quickly adopted by leading Agricultural stakeholders and policy proponent in Africa. For instance, Zenvus will begin piloting its technology for African Development Bank which wants to deploy it across all farms it is providing funding. The Bank of Agriculture, Nigeria is also adopting Zenvus as the technology platform to drive agricultural innovation in Nigeria. More recently, Zenvus have signed a contract with an African farm union to support 12.2 million farmers from 2017.

Nonetheless, more commitment would be required by African governments and their respective social institutions towards delivering needed incentives that can encourage and support more farmers in integrating this technology to increase crop yield.

As Professor Joel Mokyr noted in his book, The Lever of Riches: Technological Creativity and Economic Progress.

…to encourage technological creativity and innovation in a society, …three conditions have to be satisfied,… there has to be a core group of ingenious and resourceful innovators who are both willing and able to challenge their physical environment for their improvement,… Secondly, economic and social institutions have to encourage these potential innovators by providing the right incentive structure and thirdly such society most encourage diversity and tolerance.

The team at Zenvus technology has done an exceptional job in developing this technology; it would be great if such technological creativity comes under the aegis of the governments and agricultural stakeholders in Africa who can devote resources towards scaling this technology for farmers because of the positive impact on farm productivity accruable to this technology. This could hold the key to more productive farming in Africa from 2017 going forward.

 

Image source: zenvus