Category Archives: Personal

7 Failures I Needed to Succeed

Here is a list of seven failures from my professional career, how I met those challenges, and in some cases, turned them into opportunities

Underestimate

Eager to please throughout my career, I was burned many times, and in some cases continue to be burned by underestimating the effort required for an activity, or task, which roll up to the delivery of features, or meeting a milestone. In my earlier years, I “shot from the hip” to senior management, and they held me to those commitments. Over the years, I’ve been fortunate enough to document and mitigate risks. In addition I learned additional tools, both process and communication / people skills:

* “Interesting point, let me consider, and get back to you.” You don’t have to provide an answer right away. Consider the scope and impact of the questions you are presented. Unless you are almost certain of the answer, try to defer.

* Planning Poker (Agile) collaborative (blind) estimates make better estimations. Through collaboration, you reach joint commitment. You eliminate the “boss knows best” factor.

Hearing but not Listening

Throughout my personal and professional life, I’ve struggled with this aspect of communication, more so earlier on in my life. Two people have a meeting, and discuss their point of views regarding the same topic. They both leave the room, and have two polar opposite prospectives of what was communicated.

Even in the same language, things get “lost in the translation.“. There are many process tools to better your communications style. You hear what you want to hear. You don’t probe deep enough into another person’s perspective.

Overestimate

Adding too much margin into an estimate, being conservative in your effort estimate at times may not be the best course of action. “Right Sizing” the estimate is typically the desired approach unless otherwise guided by the appropriate stakeholders. There are lots of tools for Effort estimation, poker planning, and fist of five are just two examples.

Army of One – Embrace Opportunity

I was brought into a development team as a Software Quality Assurance manager for a well known Financial Services organization. I was to build a team of QA staff as well as mature their process workflow, e.g. implement software change management.

The department’s QA resources per team dwindled, letting go these resources, and not growing the teams as first advertised during the interviews. I found myself constantly working with the team putting out fires. Best case scenario, I worked “after” hours just to work on the strategic stuff like process improvements, and automation. I stuck to the opportunity to learn as much as possible. Sticking with the job, I built my knowledge and relationships that would wind up propelling my career to later on build and manage a 50 person, global team.

Build it and they will Come…Bull!

I chose to try my own startup at some point in my professional career. I had worked for a startup firm out of college, but that was not the same as my own self startup. There were lots of balls to juggle, decisions to make and prioritize. After a year and a half, I shutdown the company, more money going out than in, and I was also “relatively” self funded.

One of the several ill choices I made was “Build it and They will Come.” At the time it was 2009, and the mobile frenzy was just starting to heat up. Feb 2009, Apple was at 30 USD per share! 30! I built a client/server mobile application for expertise transactions, way ahead of my time. I was almost entirely focused on the development of the solution, I clearly lost sight of the focused requirement of building market share. I did post Press Releases, but I didn’t embrace digital marketing as a core spend and activity for my business.

Needless to say I was “The Best Kept Secret”.

Chasing the Sun

As a software product, startup firm, you need to segment your product to align to a target audience. However, honing in on the target market maybe problematic if the “fish aren’t biting”.

You find yourself reassessing the strategic and tactical goals of your product, pivoting often to eventually find your “pay dirt”. There may be fundamental influences to your ecosystem, such as a shift in a 3rd party product previously seen as complementary now seen as “overlapping”. Sales pitch and marketing approach may need to change along with your product.

Although pivoting often may be the name of the game, you still should recognize the cost in adapting to change. Process flows like being “agile” and Scrum help to smooth the pivot, as these processes revolve around constant development iterations and reflections every few weeks.

Time to Pull the Parachute Cord

I still have trouble with knowing when it’s time to say when. I enjoy troubleshooting problems, business, people, process, and technical. So, how long do you work on problem before you pull the ripcord?

People Turn Toward “Data Banks” to Commoditize on their Purchase and User Behavior Profiles

Anyone who is anti “Big Brother”, this may not be the article for you, in fact, skip it. 🙂

 

The Pendulum Swings Away from GDPR

In the not so distant future, “Data Bank” companies consisting of Subject Matter Experts (SME) across all verticals,  may process your data feeds collected from your purchase and user behavior profiles.  Consumers will be encouraged to submit their data profiles into a Data Bank who will offer incentives such as a reduction of insurance premiums to cash back rewards.

 

Everything from activity trackers, home automation, to vehicular automation data may be captured and aggregated.    The data collected can then be sliced and diced to provide macro and micro views of the information.    On the abstract, macro level the information may allow for demographic, statistical correlations, which may contribute to corporate strategy. On a granular view, the data will provide “data banks” the opportunity to sift through data to perform analysis and correlations that lead to actionable information.

 

Is it secure?  Do you care if a hacker steals your weight loss information? May not be an issue if collected Purchase and Use Behavior Profiles aggregate into a Blockchain general ledger.  Data Curators and Aggregators work with SMEs to correlate the data into:

  • Canned, ‘intelligent’ reports targeted for a specific subject matter, or across silos of data types
  • ‘Universes’ (i.e.  Business Objects) of data that may be ‘mined’ by consumer approved, ‘trusted’ third party companies, e.g. your insurance companies.
  • Actionable information based on AI subject matter rules engines and consumer rule transparency may be provided.

 

 “Data Banks” may be required to report to their customers who agreed to sell their data examples of specific rows of the data, which was sold on a “Data Market”.

Consumers may have the option of sharing their personal data with specific companies by proxy, through a ‘data bank’ granular to the data point collected.  Sharing of Purchase and User Behavior Profiles:

  1. may lower [or raise] your insurance premiums
  2. provide discounts on preventive health care products and services, e.g. vitamins to yoga classes
  3. Targeted, affordable,  medicine that may redirect the choice of the doctor to an alternate.  The MD would be contacted to validate the alternate.

 

The curriated data collected may be harnessed by thousands of affinity groups to offer very discrete products and services.  Purchase and User Behavior Profiles,  correlated information stretches beyond any consumer relationship experienced today.

 

At some point, health insurance companies may require you to wear a tracker to increase or slash premiums.  Auto Insurance companies may offer discounts for access to car smart data to make sure suggested maintenance guidelines for service are met.

 

You may approve your “data bank” to give access to specific soliciting government agencies or private firms looking to analyze data for their studies. You may qualify based on the demographic, abstracted data points collected for incentives provided may be tax credits, or paying studies.

Purchase and User Behavior Profiles:  Adoption and Affordability

If ‘Data Banks’ are allowed to collect Internet of Things (IoT) device profile and the devices themselves are cost prohibitive.  here are a few ways to increase their adoption:

  1.  [US] tax coupons to enable the buyer, at the time of purchase, to save money.  For example, a 100 USD discount applied at the time of purchase of an Activity Tracker, with the stipulation that you may agree,  at some point, to participate in a study.
  2. Government subsidies: the cost of aggregating and archiving Purchase and Behavioral profiles through annual tax deductions.  Today, tax incentives may allow you to purchase an IoT device if the cost is an itemized medical tax deduction, such as an Activity Tracker that monitors your heart rate, if your medical condition requires it.
  3. Auto, Life, Homeowners, and Health policyholders may qualify for additional insurance deductions
  4. Affinity branded IoT devices, such as American Lung Association may sell a logo branded Activity Tracker.  People may sponsor the owner of the tracking pedometer to raise funds for the cause.

The World Bank has a repository of data, World DataBank, which seems to store a large depth of information:

World Bank Open Data: free and open access to data about development in countries around the globe.”

Here is the article that inspired me to write this article:

http://www.marketwatch.com/story/you-might-be-wearing-a-health-tracker-at-work-one-day-2015-03-11

 

Privacy and Data Protection Creates Data Markets

Initiatives such as General Data Protection Regulation (GDPR) and other privacy initiatives which seek to constrict access to your data to you as the “owner”, as a byproduct, create opportunities for you to sell your data.  

 

Blockchain: Purchase, and User Behavior Profiles

As your “vault”, “Data Banks” will collect and maintain your two primary datasets:

  1. As a consumer of goods and services, a Purchase Profile is established and evolves over time.  Online purchases are automatically collected, curated, appended with metadata, and stored in a data vault [Blockchain].  “Offline” purchases at some point, may become a hybrid [on/off] line purchase, with advances in traditional monetary exchanges, and would follow the online transaction model.
  2. User Behavior (UB)  profiles, both on and offline will be collected and stored for analytical purposes.  A user behavior “session” is a use case of activity where YOU are the prime actor.  Each session would create a single UB transaction and are also stored in a “Data Vault”.   UB use cases may not lead to any purchases.

Not all Purchase and User Behavior profiles are created equal.  Eg. One person’s profile may show a monthly spend higher than another.  The consumer who purchases more may be entitled to more benefits.

These datasets wholly owned by the consumer, are safely stored, propagated, and immutable with a solution such as with a Blockchain general ledger.

Apple iOS Email: Boldly Building an AI Rules Engine

When selecting the ‘flag’ option on an email, one of the menu options shown is ‘Notify Me…’  When anyone replies to that email thread, the person/me is notified.

This Apple iOS email feature, ‘Notify Me…” seems like a toe dip into an AI Email Rules Engine with the one condition and without customization. Is a full blown engine in the Apple product roadmap akin to Outlook?  Has this feature been ‘out there’ for awhile, and I just missed it?

Regardless, a more powerful, robust AI Rules engine, yet keeping the iOS simple, and elegant design could enhance business savvy user’s experience.

Notify Me Feature
Notify Me Feature