• Feasibility can be broken down into separate factors: time to completion,
total costs associated with the solution, time and effort required from scarce
resources, likelihood of user acceptance and approval. An aggregated feasibility
rating should be calculated for each proposed solution.
• Alternatively, likelihood of user acceptance and approval can be
quantified into a risk rating.
The exercise of creating the solution matrix can provide a structured framework for
solution dialogue within the legal team or in a focus group with internal clients. The
shared dialogue required to create alignment across the rating rationale can build
powerful consensus and buy-in for the final solution.
Bringing teams together, bootcamp-style
Kaizen events enable real-time, collaborative problem solving. This
part of the Analyze phase involves a rapid session that brings the process
improvement team with key stakeholders and subject-matter experts together.
Through a structured workshop, the Kaizen team breaks down a process into its
component parts using mapping and flowchart methods. The Kaizen session is
committed to developing improvement ideas and a 30-day action plan to
implement the agreed-upon changes.
A key feature of Kaizen events is a shared commitment to drive change
immediately and the built-in bias for follow-through action. Two critical
keys to successful Kaizen events are firstly to identify a business
problem of manageable scope and to ensure that the Kaizen events
include all stakeholders with decision-making authority over the
process are present. For that reason, the facilitators should guide the
workshop to ensure that problem definitions are appropriately scoped at the
outset of a Kaizen event.
Keep an eye out for quick
WIN (Work It Now) opportunities
WIN opportunities are both fast and easy to implement, where the risk is low (or
at least easily mitigated) and, ideally, where significant positive impact can be had.
Whether your process improvement initiative is a contained Kaizen session or a
more extended effort, value-stream mapping and process analysis can surface