InQuest Productions, LLC.

RSS
Apr 1

Your Digital Self Worth - The Dish | By Andrew Sullivan - The Daily Beast

The cost of an individual profile is vanishingly small but drives much of the internet. We’re crazy to transfer this data to others to monetize as they will. What’s a better approach?

  1. Each individual maintains as much or as little digital profile as they like.
  2. They have the ability to share that data with third parties controlling both what data is shared and how it can be used.
  3. The methods of sharing can include both eliminating personally identifiable information and preserving the ability for third parties to make offers based on it (through opaque keys).
  4. Third party intermediaries can add value through their ability to torture the data—stronger analytics, more aggregation, combining multiple data sources.

As a result, people get what they want: technology-enabled services that identify our intentions and help us get things done. Third parties that provide products and services get what they want: the ability to target customers with relevant, well-timed offers. Intermediaries get what they want: the ability to generate value through data analysis. All while maintaining an open playing field, avoiding lock-in, and killing the walled-garden, eyeball-owning, patenting-your-DNA-and-selling-it-back-to-you greed-fest.

The technology is simple. Everything any supplier knows about you, you know as well. They take the effort to remember and you don’t. And since you could keep that data for all of your technology interactions, you know far more than any one provider can today. 

These types of changes are difficult, but given the multiple magnitudes separating cost and perceived value here, there’s hope.

The big mistake in this pattern of failure is projecting your subjective lack of comprehension onto the object you are looking at, as “irrationality.” We make this mistake because we are tempted by a desire for legibility.

-

A Big Little Idea Called Legibility

As we design for complexity we have to avoid explaining away “it’s just how we do things today” as irrational and recognize the limits of legibility complexity entails. Focusing on what, not how, and on what must be known, not prescribing sequences of action, steers us away from platonic orderliness.

Emergent versus Top Down Strategy

Clayton Christensen has influenced my thinking on strategy more than any other single source. He distinction between emergent and top down strategy formulation calls out one of the critical blocks to innovation faced by existing organizations.

The top down approach looks at past performance over time, identifies trends, extrapolates them into the future, and projects the impact of possible actions on future outcomes. History heavily influences confidence in a proposed plan. When based on years of successful experience organizations can view these projections as truth, beyond challenge.

Organizations can’t succeed without developing strong competencies in formulating top down strategies, but those strengths create barriers to pursuing any significant innovation, making it much harder to commit the required resources. Entering new territory or re-envisioning familiar ground means leaving the comfort of high confidence based on long experience and shifting from top-down to emergent strategy formulation.

Rather than extrapolating the past the emergent approach starts with setting a desirable future state (in 5 years we’ll have X% share of a $Y market), identifying the riskiest assumptions on which that future depends, and defining near-term actions that test those assumptions and based on the results, adjust the approach. Execution focuses on learning and adapting. Confidence depends on small-scale confirmations that the desired future can be reached. Sustaining that confidence in the face of always beckoning incremental opportunities in the existing business requires real and rare discipline.

Allocate Blame up front

A long time ago I identified the key steps to a successful project kick off:

  1. create a separated space for the new team (so they don’t get pulled back to ongoing work)
  2. recruit team members to enlist, don’t draft/assign them
  3. come up with a catchy code name
  4. create a cool t-shirt
  5. pre-allocate the blame for the project’s likely failure (since most do)

Getting the blame game over with up front helps the team take an aggressive swing, to accept that doing something new is risky, and hedging your bet to minimize getting blamed if things go wrong makes zero sense. The leader’s t-shirt should say, “It’s my fault” and be done with it.

Critical Thinking

A helpful resource as you work on accuracy and dialog mapping.

Mar 9

Dialog Mapping

Again, not a big fan of meetings, but sometimes assuring that people can behave in alignment with each other requires getting them together to agree on a course of action. Dialog Mapping is a technique to facilitate these types of meetings.

The way I’ve applied it is pretty straightforward. You start by identifying an open-ended question, like “What should we do about Iran?” (rather than one that forces a single yes/no answer, like “Should we attack Iran?”) As participants speak the facilitator captures what they say as one of these:

  • ideas: a proposed action, like “bomb them.”
  • an argument for or against an idea: “bombing them will start WW3” or “the claims that Iran is building a nuclear weapon is false, so we don’t need to bomb them.”
  • context (facts like “Iran borders Afghanistan” if it’s not mentioned as an argument for or against an idea)
  • parking lot: things that are worth capturing but not on point for this meeting (“Let’s bomb North Korea”)

The facilitator isn’t a passive scribe; they interact with the speaker to make sure the ideas/arguments are captured accurately, they ask the speaker to identify what’s different in what they’re saying and what’s already been captured (to minimize the beating of dead horses), and they assure all of the participants are heard.

The capture is shared with all of the participants in real time—projected, displayed, shared through the virtual meeting shared desktop, or the like. This allows everyone to stay in sync, to challenge the accuracy of the capture, and to self-censor the desire to keep making the same points. There are software packages designed for Dialog Mapping; I frequently used some outline/mind mapping software. 

Once ideas and arguments have been captured the meeting can shift to prioritizing, evaluating, and selecting actions.

I recommend learning more via the link above and/or reading the book. 

Mar 9

Rules of Conversation

One of the benefits of working in major corporations is the training and development experiences they provide. Both Apple and HP made significant investments in my career development (and deserve appropriate credit and none of the blame). Some of the tools and concepts made a big difference in my ability to respond to the critical coaching I received years ago: “Do you want to be right or be effective?” 

The Conversation Meter (from HP Dynamic Leadership training delivered by Conversant in 2001 time frame) is one such tool. I haven’t read it but believe this book is the authoritative source of this model:

Pretense: A direct conflict between what you say in one situation and what you say in another(lying, withholding information).

Sincerity: An honest report of my point of view; includes thoughtless certainty that my view is accurate.

Accuracy: Separating mutually observable facts from explanation of those facts. Includes the recognition that my perceptions are not reality.

AuthenticityGenuine appreciation of various views and factors, researching where they intersect for new insight and opportunity.

Hopefully you’ll encounter pretense infrequently. I’ve found that saying the same thing in all circumstances, not slanting the message for the audience, increases the effectiveness of the communicator and the message immensely. It’s so easy for the shading and nuance to slip into falsehood.

Sincerity is highly common in the technical community. The difference between being right and being effective depends on moving beyond sincerity. My coach way back when told me, “You say things in a way that require anyone who would disagree with you admit to being either stupid or evil. You might want to give folks a bit more room.” The point of interacting with others isn’t to be right, but to get to the best shared understanding of what it right.

Separating fact from interpretation allows considering evidence that you have your facts wrong, and where the same facts can be interpreted in multiple ways. This allows considering the relative merit of various interpretations.

Once you let go of the idea that someone is keeping score and rewarding the person that was right (I told you so!), you can actively seek out diverging views. There’s also a better chance that others will seek yours out, as if by magic….

Mar 9

Overcoming Resistance to Adopting Innovation

Organizations resist change. Even in an industry like technology that attracts neophiles most people prefer to stay with what they know.

This becomes a real challenge when an organization’s success depends on finding novel approaches to creating value. Innovation implies change, and driving adoption requires managing change. 

I have spent most of my career advocating new approaches to designing and building technology solutions—object-orientation, service-orientation, model-centric, and domain-centric design, amongst others.  Too often adoption took longer and fell short of my intention. The typical objections I encountered:

  • We don’t know how to apply these approaches
  • It’s easier and faster to implement the solution using our current approach
  • We don’t see why doing it differently is any better than the way we’re used to.
Sadly these objections reflect real issues. Typically a proposed innovation consists of some high level justification and a plea for trust (given the lack of demonstrated results), along with a lot of advocacy, nagging, and cajoling. The “change agents” get frustrated with the limited progress, and the target adopters get frustrated in turn with the confusion, lack of clarity, actionable direction, and feeling that they’re being slowed down for no good reason.

What’s missing?

Training

Asking a team to adopt a new methodology or a different approach shifts them from applying the skills they have to learning new skills. Learning is very different from doing. Most people find it uncomfortable to shift from being an expert to starting over as a beginner. Everyone is always under pressure to deliver, and learning means a delay—spending time building a skill rather than applying one—at least in the short term. Even worse, learning is hard to schedule. It takes different people different times to learn, and until there’s some progress it’s hard to estimate how long it might take, or even if the learner will ever be able to achieve the same level of mastery in the new skill that they have in their existing skill set.

It always seems expedient to stick with what we already know, but that precludes gaining any value from innovation, and leaves the organization at risk of eventual irrelevancy. Excelling at learning is at the heart of excelling at innovation. Excelling at learning depends on aptitude (the capabilities the team brings), attitude (their enthusiasm to learn), and effort (how hard they work at learning). These characteristics of individual team members are tremendously important, but how quickly the team gets up to speed also depends on the quality of the training experience available. Is the new approach well documented? With tutorials? Reference implementations? Are there experts that can teach and coach? Too frequently we push a new approach with little or no thought to training.

Tools

I’ve attempted multiple times to shift teams from task-based to model-based automation, with limited success in several cases. One of the key reasons was the lack of tools to support the design of models. The teams that built the model-based innovations had focused on creating the core platform capabilities but hadn’t invested in tooling. As a result the lack of tools multiplied the learning challenges of the teams evaluating adoption of these new approaches. They had to understand the new abstractions while suffering through specifying models by hand in a very complex syntax, with no ability to validate the resulting models, and with no easy way to understand why incorrect models were incorrect. If you want a team to use a new approach you must provide the necessary tools first, not after the first projects suffer through their lack.

Motivating Use Cases

Shifting to a significantly new approach requires keeping the first projects simple and limited. The adopting team needs to get some experience and successes under its belt, build momentum and confidence, and get feedback about what works and what doesn’t, early and often. Unfortunately that means early projects won’t achieve an outcome beyond the reach of the existing approach. One example from software development: when a team moves from a procedural approach to an object-oriented approach the first few projects see little benefit from the change. It’s only when they tackle significantly complex projects that the advantages of reuse and modularity start to kick in.

The advantages of the new approach only show up with complex use cases but the first projects have to stay simple, which leaves the team wondering why they have to go through all the trouble of learning a new approach just to accomplish what they could do easily with the familiar approach. To manage through this concern the change agents must show how the new approach can address important use cases that the current approach can’t and refer the team back to those examples whenever the question arises.

Structural inhibitors

Change agents must be sensitive to the organizational structure. The Bozo Principle applies: presumed competence is inversely proportional to organizational distance. “Our team is smoking. The folks down the hallway seem OK. The people on the next floor are clearly not that sharp. Why do we even pay people at the remote site? And don’t get me started on the schmoes in that other division….”

This manifests as Not Invented Here and a thousand other ways, all of which generate resistance to change, and so to adopting innovation. As difficult as developing the training materials, building the tools, and creating the motivating stories are, dealing with these cultural barriers will be far tougher. There’s no simple answer, other than changing “us” and “them” to “we.”

Mar 9

Makers and Managers

Making (directly working on a problem in a domain) differs fundamentally from managing (planning, organizing, directing, and controlling work on a problem in a domain). The related activities of making and managing mix together poorly. This article describes their different cadences, why they drive each other crazy, and the importance of segregating them.

Mar 8

A talk I did at Structure 2009 on the Cloud.