Successful organizations and smart employees often don’t see the need to change or struggle with reaching a consensus on what and how to change. Assessing and replacing old habits challenge the employees’ power structures and often, involving a third party can help identify and resolve friction points and gain consensus early in the process.

This blog outlines five compelling reasons for hiring an agile coach early on, so that the transformation can lead to true, self-sustaining, and impactful agile adoption.

Continually asking for things, being promised them, and not getting results is one of the most frustrating situations that leaders experience.

Identifying and pursuing the wildly important thing to completion helps to increase team output, de-prioritize starting new things in favor of finishing existing ones, and learn faster. When teams try to do more than their natural capacity, when they attempt to work on multiple critical projects in parallel or multi-task with the false hope that key dates or measures of quality won’t be negatively impacted, poor results inevitably follow.

1. Know your wildly important thing. Discuss it with sponsors, peers, and teams to ensure consensus.
2. For teams operating at natural capacity, requests to add work, by default, need to be declined unless they come with a proposal to de-prioritize current committed work.
3. Adopt the mantra “Stop Starting, Start Finishing”. Repeat this in every meeting, and whenever a new thing is proposed

A chatbot is loosely defined as a computer program which conducts conversation via auditory and textual methods. It is derived from the word “ChatterBot”, coined by Michael Mauldin in 1994. There are several derivatives – verbot, smartbot, talkbot, IM bot, interactive agent, conversational interface, AI conversational entity, and so on.

Interestingly, this idea was perceived in 1950 by a brilliant British mathematician and scientist with years of expertise, Alan Turing. While Turing theorized on text-based conversational interactions, the technology has evolved over the years.

So, what has changed? Well, in the last three to four years there has been an exponential proliferation of chatbots, an underlying technology component for delivering higher business value with human-like intelligence (the Turing criterion). How do these chatbots work? Typically, there is a user interface that allows a user to type in or ask using AUI questions (or phrases, expecting a response), the same is processed by an NLP (natural language processing) engine to convert to a structured code. This code is then run on a target system or application to get the result and the reverse loop is completed similarly.

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