We work in a knowledge economy and it is very important for a manager to classify people around us to know what are their capabilities.
This classification can help in identifying the right person for the right job. Again the same can be used by an individual to plan a career –
What to do?
People who know “what to do” are the “heart and soul” of an organization. They can see the big picture, set the vision and direction for the organization and motivate team members to achieve the goal. They think beyond the obvious and are extremely passionate about the end result.
Generally these people leads an organization, venture or play a pivotal role in a project which needs the team to innovate or invent.
How to do?
People who have good expertise in their domain and have a good idea of the internal workings of a given area can precisely guide a team and get things done. These are managers who know “how to do” a task.
Most project managers, consultants, team leads and technical experts They solve problems, create tasks for subordinates, track progress and put the vision in reality.
To do
They make the biggest chunk in any organization and of course the most important one as well. They implement the vision of the “what to do” visionary by following the “how to do” leader and do the ground work which is most important for real life implementation of any project.
A successful person need to move up the ladder from
“To-do” -> “How to do” -> “What to do”
An individual need to traverse them in order and by mastering each class as they need to set an example for his followers to get their trust and respect, which is most important for the model to survive.
Notes:
1. There must be a proper ratio of “how to do” and “to do” team members.
2. It is advisable to limited (if possible ONE) “what to do” visionary in a team working on one project / venture to ensure that there is one set “goal”
3. For a diversified organization, there must be several “what to do” type leaders, else there will be an environment of chaos and confusion.
Since one of the ideas is to split strings not into words, but hopefully into phrases more semantically informative than the words they are made of, doing that better should mean better suggestions, and avoiding what essentially are word n-tuples should make for smaller data and slightly faster querying.