MP3 Download: $85
Compact Disc: $89
Clean Language: Deep Listening and Respect for Clients’ Inner Resources
In this one day seminar you will learn and experience:
- Orient clients to a single inner landscape so they can contemplate “And what would you like to have happen?” in their own way.
- Clean Setup: using Clean Language and Symbolic Modelling to elicit someone else’s outcome without interjecting your presuppositions and metaphors (much trickier than you may think!
- One Minute Motivation: a brief use of Clean Language that results in a list of necessary conditions that need to happen for you to achieve a process-oriented outcome.
- Deep listening: clean listening respects the client’s inner map of the world, using only their own words, phrases, and gestures. It affirms that you truly do have access to all the resources you need to act with effectiveness.
In 1995 two NLP trainers, Penny Tompkins and James Lawley, began modeling psychotherapist David Grove, the innovator of Clean Language questions. Like Milton Erickson, Grove was able to help trauma sufferers that others had labelled difficult or impossible. The results of Penny and James’ modeling are the methods of Clean Language and Symbolic Modeling. These methods are now taught regularly in NLP Practitioner classes in the UK and are becoming more prevalent in the US.
Sharon Small has a B.S. in Psychology with an emphasis in Jungian symbolism. She was the first Certified Clean Facilitator in North America, has been working with Marian Way of Clean Learning since 2008, and running trainings in the US since 2010. Sharon is a vibrant and engaging trainer with masses of energy. She is able to convey the “how to” of Clean in an accessible and friendly way.
Sharon runs Clean Learning's U.S. Clean Facilitator Certification Program, including a 5-day Part One Training held in San Luis Obispo, California and scheduled for December 5-9, 2012. Sharon is a Clean Assessor who can certify Clean Facilitators with recognition from Penny Tompkins and James Lawley, developers of Symbolic Modeling.