Agile games night: Lost in the Desert

We met again at the Wemanity Agile Tuesdays, and this time I joined the game “Lost in the Desert”, a self organizing exercise.

In this game, a group of people (around 8) are supposedly flying through Africa when the plane crashes on a desert.  All of the participants survive the crash, and they find themselves on a desert with a list of 15 items:

The game begins now, first letting these 8 people think by themselves and come up with their ‘personal’ list on how to prioritize these 15 items. Give them 10 minutes for that.

Once they have it, they have to keep for themselves their own list, and during the next 20 minutes discuss with the group to come up with a ‘common’ prioritized list.

You can guess that the objective of the game is not to the list itself, but more the analysis of the interactions, the thinking and acting behind the process of finding the ordered list.  This is our result:

 

Let me tell you that we have been congratulated by our Agile facilitator, because a regular result of this game is … no list at the end of the 20 minutes! He told us that usually people get lost on discussions and don’t deliver. And you know the saying: “A bad decision is better than no decision”.

To measure your result, compare your ‘personal’ list to the ‘common’ one.  For that you could add the distance of objects in each position between the 2 lists. Did you do better or worse than the group?  Sometimes you can observe that the ‘common’ list is better than any other ‘personal’ one: collective intelligence worked there at the most!

You could also compare how is your ‘common’ list related to an ‘expert’ survival list? This is just for fun, but I’m sure you are curious as me to learn survival skills for your next holiday trip to a desert 😉

As always in Agile Games, the interesting part is the debriefing after the game: that’s where you reflect on your own behavior, on the other’s ones, and you learn and improve yourself.

  • How was the process done? (in an ordered way, with shouting and frustrations or calmed?)
  • Did a vision on what to do emerged (do you stay there waiting for the rescue, try to rejoin civilization,..?).
  • Did more specific goals have been defined? (to survive, to get help, to get noticed..)
  • Who emerged as natural leaders?
  • Did everybody have the opportunity to talk? Remember collective intelligence is usually better than one person’s decision
  • What strategies have been used for negotiation? Which ones worked better?

If you work in Agile, you can immediately relate this exercise to many parts of the process:

  • the Sprint planning, where we define the goal of the Sprint, a common vision that will help get aligned the many small personal decisions every team member takes while doing their job.
  • the role of the SCRUM Master, allowing time to everybody to speak.
  • defining your prioritize Backlog features… going back to the game, I hope you gave a high priority to your parachute so you could be on the shade during the long hours of negotiation 😉

Want to know the optimal prioritized list? One done by an expert on survival on the wild? Drop me a line and I’ll reveal it to you 😉

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The Fourth Age, by Byron Reese

I received a copy of the book The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity for evaluation (thanks again!), and I can tell you that the way it has been written has some great advantages.  The subject of where lead the developments of Artificial Intelligence and robots technology is not easy and very controversial with questions like: will all our jobs be taken by computers in the future? Are we facing the destruction of humanity by the future Artificial Intelligence robots? and so on.

Byron Reese presents us not with one possible future, but with different possible outcomes of Artificial Intelligence technology depending on our basic beliefs.  Those basics beliefs are represented by the answers to classical though difficult philosophical questions, like: what are we, what is life for you (that will define if you believe a machine could be alive)? do you believe in a soul? and others alike. He guides your reasoning through these questions in a very easy way: he provides 3 or 4 possible answers for each question and he analyses each of them. That helps to clarify your thoughts, you can see which one resonates better with you. So it’s a multiple choice answer, what makes it much more easy to adhere to one possible answer, you don’t stay forever discussing it..

He uses the same method for each great question you ask yourself over the future society: will robots become conscious? will they take all our jobs? Will they take us over? You’ll have each time 3 or 4 possible choices of answers, and a discussion of the implications of each one. If you wonder, go to his website, he put there a quizz to see how ‘robot-proof’ is your job 😉

In conclusion, he’s not presenting his view of the future, but many options, each of them depending on your core beliefs. I liked it, it’s an easy and straightforward method to help us see the implications of actual technology on our future.

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Be crystal clear when communicating your offer to your customers

That was the final message of last Meetup I attended organized by the Fearless Female Founders group. Madeleine Alvarez, an experienced Business Development Consultant and Trainer, presented us the Personal Model Canvas to help us come with a clear definition of our offer. The aim of her presentation was:

Learn how to package your services and products so that your customers will see their value easier, how to align your offer to the market and how to communicate it better.

Don’t we all want that and flounder to do it? Wasn’t she clear? It’s super important that the person you talk to understands your offer from your first words. After some second, they either classify your talk as ‘interesting’ and keep their attention to your saying, or disengage and just don’t put so much attention to what you say.

The first question is to find the value for our customers of our work, not the definition of it. To help us finding the words that our interlocutor will be interested in, she showed us the Personal Business Model Canvas:

http://businessmodelyou.com/

This model helps to differentiate the services (or product) characteristics we are offering from our customer’s covered needs. These last ones, that are described in this model under “How you help”, are the things we must highlight in our communication.

Then, she urged us to find a sentence that could explain our work to a 10 year’s old child. Have you ever tried that? We all know it’s important to be clear, but when working on technological fields we tend to use technical terms, and even if not in technology, usually there are words only known by the ones in the field. We dared her to do so with her job, and she amazed us!

I teach parents to say please and thank you at work, so that everybody works happily and doing their best:
– Please could you give me a report?
– Thanks for your good report.

We enjoy your presentation, thanks Madeleine!

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Agile Serious Games

I went the other day to an Agile Serious Games session organized by Wemanity, and we did nice exercises to illustrate the values and advantages of Agile Management. If you’re not familiar with the expression ‘serious games’, it’s used when playing a game that has a professional purpose, that makes the participants experience a problem and sometimes also a solution.
I would like to share with you the ‘ping-pong race’ serious game:

  • Create teams of at least 5 people. It works very well with more people, try to keep it in teams of around 10 people, though it doesn’t matter if you only have one team. You’ll need at least 30 ping-pong balls and a basket per each team.
  • Tell people to group making a circle.  One person of the team will take the ping-pong balls from their container and this same person will be in charge of putting the ball that has already been passed to everybody in the basket provided. He’s the only one who will touch two times the ball. Each ball has to be passed to every team member, following these simple rules:
    1. The ball cannot be passed to a neighbor (the person immediately next to your right or to your left).
    2. The ball has to be in the air for a short time when passing it, you cannot put it directly in the hands of the person.
    3. All persons on the team have to receive the ball at one time, except for the first person that touches it twice.
    4. Balls that fall on the floor don’t count. Leave them there until timeout.
    5. The objective is to have as many balls in the basket as possible.
  • Time the game: give them 5 minutes to discuss how to organize themselves, then one minute to play the game (or more if the group is big).

First time this game is run, they end-up with a small number of balls that completed the assignment. But now comes the key element of this game: ask them if they think they could do better a second time. Let each team discuss between them for 2 to 5 minutes and then run the game again for a minute.

Usually the second time all teams do better.  Allowing them again some time to reorganize and running it a third time provides still better results.

The key part of the game is not the game itself, it doesn’t really matter who won the race, nor how many balls were in the basket. The key part is to realize that taking some time-off to think about how you are doing your work in order to improve it is worth the time lost on those meetings. Teams understand the point of the game and that they see that they can improve by self-organization. It makes them interact, communicate and take action instead of waiting for instructions to improve their work. In the Agile-SCRUM methodology this is covered by the Sprint retrospectives.

Image from www.agilest.org

This game is always fun to play, the whole cycle lasts around half hour, and it really shows people the benefits of having time to reflect on how you’re doing your job. And as you are doing it at work, it shows that the management encourages people to take initiatives 😉

In any case, it creates a nice feeling of team-building! It’s definitely worth the try.

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Are you getting your message across?

Jean-Luc Doumont came last month to the KUL University and delivered a very insightful lecture to rational students and researchers on how to deliver effectively the message on their papers. Effective communication is always difficult, so imagine  when discussing complex subjects, specially if the person delivering the message has been isolated and immersed in that particular domain for some time while doing the research!

I found very valuable his insights and they apply to many business situations. So here is a small recap of these tips, but don’t hesitate to visit Jean-Luc’s website for more insights.

  • When showing figures, don’t forget the labels of the axes 😉 and much more important, use the Title zone.

 

 

 

 

 

 

  • As shown in previous example, a good title is the one that shows the message you want to pass along.

A message is an interpretation – is what the information means:

  • Choose carefully how to express your message, it’s important to select the right subject:

A message is a statement – a full declarative sentence. The subject should be about what I’m talking, the verb what I’m saying about the subject:

  • For a log document, beware of this mismatch:

    I encourage you to go to his presentations for more detail on what to cover in the different parts to get your reader hooked 😉
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4 Behaviors to find new business ideas

I went to an open event at Vlerick, and Prof. Miguel Meuleman gave us a talk on the Entrepreneurial Mindset. He gave us good tips to find business ideas. Based on the six-year study behind the book The innovator’s DNA, he mentioned these 4 discovery activities that the authors have identified as the ones in which innovative entrepreneurs spend more time:

  1. Questioning
  2. Observing
  3. Experimenting
  4. Networking

 

 

The good news is that anybody can nurture these behaviors.

  • Questionning:

Miguel used a restaurant to illustrate how to question the status-quo: What do you need to have a restaurant? We quickly came up with a list:

  •  capital,
  • a venue,
  • marketing,
  • food,
  • a cook,

Now, question each of the assumptions: how could you have a restaurant without capital? how without a venue? without marketing?… He even gave us an example of a restaurant without food! (If you wonder, it was in a seafood market, where you could buy your own fish and bring it to the restaurant that cooked it for you 🙂

If you analyse your answers, you may see that to overcome one of the traditional assumptions (like needing capital to launch a restaurant) you are using a new trend (like crowdfunding). Our assumptions come from years of doing something in the same way, but then thanks to a technological advance, a new tool, a new trend, those assumptions are not true anymore.

When discovering a new trend we have to reflect on what it means to our business, is it challenging one of the basic assumptions we worked with before? What are the problems that can be solved with this trend? Is it creating new expectations from our customers? (As example of this, KBC is now offering a contact channel through Whatsapp)

  • Observing

Miguel suggests us to look at dating sites like Tinder 🙂 Successful dating sites are designed to attract people, they are  rich in new ideas of presentation.  The idea behind is to look at new startups websites to find good design ideas. When something is easy to use, it usually catches up quickly and soon your customers will want it in your site too.
Observe your customer, think of your customer’ journey.  As an example, Nordstrom innovation lab designed an ipad app to help customers choose their lenses in a very Agile way: they installed the whole team (developers, designers,.. even the SCRUM board!) directly in one shop, and they follow the customer to see how they walked around, what they were looking at, how they finally chose their lenses.  They came with a working prototype within a day, and asked real customers to try it, so they could see immediately the functionalities that were missing, or the ones that were not user friendly.

  • Experimenting

Experimenting is not just trial and error. It has to be designed. Facebook is not the same to everyone, there are many versions of the application running simultaneously, they can quickly see which features work better. To look for ideas, Miguel suggests us to look at the Airbnb site: they share all the experiments that they do with their users.

  • Networking

The idea is to talk to people about the new ideas, to discuss the problems to be solved, to come up with different options of your initial product. See people’s reaction, incorporate their insight to your initial idea.

At the actual pace of change in our society, we should do this regularly, to systematize the process of innovation and don’t become a dinosaur (professionally speaking).

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A Good Management strategy is worth!

I am on the Advisory Council of the Harvard Business Review.  Last week I took part in the selection process to choose one article to be the winner of HBR’s most prominent prize, the McKinsey Award.

The 3 pre-selected articles were very interesting, bringing advice to companies on what their C-Suite executives must focus (one was on strategy, one on globalization and the other on the importance of management practices).  

This last one on management was ‘Why do we undervalue competent management?’ by Raffaella Sadun, Nicholas Bloom and John Van Reenen. They argued that good management practices are not valued enough, they are not considered as a possible competitive advantage because they are supposedly easy to copy, they are usually wrongly relayed after a good business strategy/[other business strategies].

They did an impressive research called ‘World management Survey’ across 34 countries interviewing more than 14.000 companies, and their results show without surprise that good management practices correlate to strong performance.  Although this was never argued, they differ from established knowledge in that it is not so easy to copy that.  Achieving operational excellence depends on people: even knowing what to do, changing mentalities and changing a company’s culture is not immediately done. Moreover, there is a positive spiral effect, because employees working in those good managed firms are motivated, and having a good reputation, those companies also attract more talented employees.

Knowing this, why is that all companies don’t go for it?  They mention different issues at play, but one that I find important to emphasize is the bias on our own evaluation:

False perceptions. our research indicates that a surprisingly large number of managers are unable to objectively judge how badly (or well) their firms are run. (Similar biases show up in other settings. for Example, 70% of students, 80% of drivers, and 90% of university teachers rate themselves as ‘above average’.)

In conclusion, improving your management practices is a good strategic movement.  I encourage you to read the full article, and let’s hope your Board and C-executives will read it too 😉

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Will 2018 be the year of the “Digital Startup”?

Hi,

As with any end of the year,  it’s time to reflect on the achievements of the year and look forward to the fresh new year. The holiday season is also a time to reconnect with family, friends and why not with our business.

As part of that exercise, one of the project we launched, the “Digital Startup Toolkit“,  a virtual program for entrepreneurs, to help them understand and take advantage from the possibilities of the internet for growing their business,  has not delivered yet to its full potential.

But our faith on this product is still very strong, and we think that this new year will be the proper timing to redouble our efforts on making this product your success story. We derive a great please on delivering it, moreover knowing that we are giving you the tools that will allow you to improve your business.  You know the saying:

Give a Man a Fish, and You Feed Him for a Day. Teach a Man To Fish, and You Feed Him for a Lifetime

Well, our product follows those lines… in a modest way, as I’m sorry to say that our teaching won’t last a lifetime. Technological changes don’t stop, we cannot stop learning!

So what will change for this to happen? What’s sure is that we will refocus on this program to make it better. We strongly believe that we can boost your business, our own global economy and all of us thrive in 2018. See for yourself here how you can benefit from this program.

And you, what are your good resolutions for this year? In any case, I wish you a lovely and exciting 2018 in both, professional and personal sphere.

 

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Useful tips on video communication

Last week we had a lovely time at Le Chatelain Hotel for the Christmas drink organized by the Professional Women International association.  They had invited Viviana Siclari and Bruno Souverbie, who gave us nice tips to do videos.

Very interesting subject, as short videos are being used to do marketing clips to promote a new product, to present your company on internet but also to get a job: some companies ask you to send a small video to do a pre-selection before giving you a real job interview. And some real interviews are done on line, so these tips apply too!

At Waterloo Hills, we do short videos with information on ‘how-to’ going digital: you can subscribe to receive videos, each on a particular subject like how to create you e-shop, or how to take advantage of the data in Internet for improving your business.

And if not for videos, these tips also apply to your video conferences, which are becoming of greater relevance with the globalization of the work-force and also the wide spreading of teleworking.

I collected some of the tips for you, dear reader 🙂

  • Don’t put the camera at a different height of the main character: filming top down to you will minimize you, filming bottom up is not nice either.
  • Don’t change too much the camera angles, it’s disturbing.
  • Look directly to the camera when being informative, assertive, when you are directing a message to the viewer. When looking next to the camera, the effect is like in a movie.
  • Be aware of the decoration: each object in front of the camera has to be considered necessary or at least not disturbing; else it’s distracting the attention. As a bad example, look at this interview with a frame with a clown in the background!
  • Don’t wear stripes or peas. Don’t use a shining material, be also attentive to use a material that does not do noises when you move around (your arms for instance).
  • Use pastel color, so the focus is in your face and not the wall or your clothes. Red is not a good color, it makes people look unhealthy. Light blue and green are more likely to favor you.

 

I hope this advice will help you create wonderful videos, where the message passes along.  Show me yours! I’ll be happy to see the result, I surely be reviewing my professional videos.

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Asimov’s robotic laws revisited

Artificial intelligence programs that predict, suggest and act extrapolating from our requests are already being used in everyday tools, and this technology cannot be stopped. I just changed my car and it’s incredible how many options are based in AI, providing a lot of functionalities to assist me -the driver- making it almost unthinkable that I could do without them.

At the same time we start hearing famous voices  such as the ones of Elon Musk, Steven Hawkings  and Bill Gates  warning us that “AI could spell the end of the human race“.

Their concerns of the potential issues that the rise of AI presents are real, and they will need to be addressed. This is why I liked this video from Stuart Russel, where he proposes 3 principles for creating a safer AI.

 

 

The King Midas Problem

Midas request was to be able to transform everything he touched into gold. His wish was granted but then he died because EVERYTHING he touched was transformed in gold, even his food. 

Current AIs are facing that same dilemma, they require from us (programmers) to be very specific and careful with the objectives we put into them. As Stuart Russel says: “better be quite sure that the purpose put on the robots is what we want”.

He proposes to implement these following principles to make sure AI’s programs will be helpful to humans:

The laws for ‘Human compatible AI’

1. AI Goal Is To Maximize The Realization of Human Values

Robots should not have an objective per se,  with the exception of maximizing the realization of human values. If you are fan of Science Fiction literature, you’ll remember Asimov’s robotic laws. This law will directly overrule the Asimov’s self-preservation one, making the AI truly altruistic.

2. The Law of Humility

Our human values are not clearly stated and those values differ in some way from one human to another so they will never be completely defined.  The AIs will need some humility to understand that they may not fully know what are the values they are trying to maximise. This will force them to observe all human behaviour and adapt the values to those observations. That will also make them accept our feedback if they are not satisfying our wishes (because we expressed them badly).

This law  is important because it avoids the problem of the mindless poursuit by eliminating the certainty of a single known objective to be maximised.

3. Human Behavior, The Information Source of Human Values

The idea is that they will draw our human goals from their “general knowledge “ to fill in a particular request. For that, AI’s have to have access to the full story of humans…but we have electronic files of almost any written book and research, and a quite important quantity of our daily activities leave electronic traces nowadays.

Robots should try to understand the motivations behind our behavior, instead of copying our strict behaviour.

They have to know our limitations like the limited computation of the GO game expert (he didn’t want to loose, he just couldn’t foresee the result of his move). 

And they should be designed to satisfy humanity desires, not responding to the wishes of one specific human being.

Russel argues that there is a huge economic incentive to get it right, because one bad example will make people untrust AI’s (as in his example of an AI home assistant that made the kitty for dinner because there was no other food in the house, not realising the affective value of the kitty)

But There Is Still Room For Improvement

 

I love this revisited Asimov’s robotic laws, but obviously AI programs could be designed in other ways, unwillingly or willingly, so let’s remain vigilant.

 

 

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