Change and loss are inevitable parts of life. Whether you are navigating an organizational restructure, shifting your career, or managing a major life pivot, standard strategies usually focus entirely on growth. You might identify how to move forward, but may ignore the most challenging part of any transition: dealing with what is left behind.
MIILL (Making Individuals & Institutions Loss Literate) is a unique framework built to fill this gap. It helps people and organizations build "loss literacy" – the vital capability to recognize what is changing, understand its deeper meaning, and figure out what to keep versus what to let go.
How MIILL Differs from Traditional Frameworks
Most popular change models look at transitions through a lens of momentum or individual behavior:
The Kotter 8-Step Model drives top-down institutional urgency and rapid execution.
The Prosci ADKAR Model tracks a person's desire and ability to adapt to new systems.
The Bridges Transition Model focuses heavily on the psychological states of endings and new beginnings.
MIILL stands apart because it treats "letting go" as a dignified, constructive choice rather than a failure. It recognizes that stopping an activity or closing a chapter does not erase its past value. Rather than just offering psychological comfort, it connects these endings directly to practical resources, helping you reallocate your attention, energy, and daily focus where they are needed next.
An AI-Powered Approach for Rapid Reflection
MIILL is packaged for the modern world – and free to use. Instead of requiring expensive consultancy workshops or rigid worksheets, it is designed to be fed straight into an AI system as a prompt.
By applying MIILL's simple headings to your unique situation, the AI acts as a private, judgment-free sounding board. It filters out generic advice and quickly highlights the hidden friction points and opportunities in your transition, serving as a springboard for your own reflection.
Download and try the free guidance here
MIILL is a framework for reflection and discussion, not a diagnostic or professional assessment tool. MIILL analyses, including those generated using AI, depend on the information provided and may be incomplete or inaccurate. They should be treated as prompts for reflection rather than recommendations or conclusions. Where decisions have significant legal, financial, health, employment or other consequences, appropriate professional advice should be sought.