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“The central theme is that good statistics involves principled argument that conveys an interesting and credible point.” said Sir Robert Abelson, while describing the intent of writing the book “Statistics as Principled Argument”. Unfortunately, the statistical courses do not focus extensively or directionally influence user around the argumentative nature of claims they make using various statistical theories. This in turn leads to misleading, misinterpreted and misguided theories largely impacting the possible narrative. Data in its various form is characterised with several properties and can be presented differently that widely changes the persuasive forces around acceptability, impact and usage. This is guided by Robert as MAGIC. Intent of defining MAGIC was to allow the Statistical Analysis be used to make compelling or specific outcome and claims. · Magnitude – provide specific details around how BIG or SMALL the effect of analysis is. Larger the effect – more compelling it is · Articulation – Analysis outcome should be precise and restricted interpretation. · Generality – General application has faster acceptance and are more compelling. · Interestingness – Outcome should ideally result in change in the belief system in reference to the topic. More Interesting and Surprising effect – faster is the acceptance and larger compelling · Credibility – Refers to believability. There should be a method displayed and should result in a logical theory base. Any conclusion which is contradictory to already existing belief will have slow acceptance and less compelling. Since DMAIC Methodology is a data driven quality strategy used to improve processes, MAGIC Criteria has an influencing effect. 1) Define – Project Charter VOC, VOP, VOE, VOB and Need for Project has compelling results on the Problem definition and its precise articulation, SMART GOAL and Expected Outcome be clearly defined along with project team, project plan. Historical Data around Metric significantly called out HOW BIG and SINCE WHEN the Problem is. Defining the scope is characterised by Generality principal to know coverage and restrictions around applicability. Communication plan and ARMI Chart articulates responsibility framework and ensures credibility, allowing Stakeholders to approve and make investment and at the same time team to put efforts in making it successful. 2) Measure and Analyze – Process Map, Baselining, Fishbone or VMS approach, 5 WHY analysis tool and Process / Data Door approach makes the analysis and status quo meaningful, inclusive – since the entire team is included and believing in the change becomes easy. Articulation, Interestingness and Credibility are the narrative that best fits the Stage. Potential X’s along with occurrence data (Pareto Analysis) helps in providing meaningful insights - magnitude to the major contributors. 3) Improve and Control – Optimizing Best Solution, FMEA, PHUG, Decision making matrix are some examples that explicitly calls out enhanced believability and interesting way to prove To be Status. Mistake Proofing, Standardization and Automation and phasing out each counter measure to documented SOP relates to compelled Articulation, tracking the improvement and showcasing the growth to Stakeholders is an excellent way to win trust and acceptance of concerned teams - Credibility. While MAGIC Criteria has proved out to have its relevance and applicability across various streams including psychology, ecology, sociology, but due to its elementary composition, MAGIC and DMAIC goes a long way to Optime and Sustain Improvement. DMAIC follows the exact philosophy to highlight the Magnitude of the issue, point out variance and reasons - Articulation, method to identify solution and categorically improve and sustain performance. “WHAT, BY WHEN, BY WHOM, HOW MUCH –is all inclusive and very well resonates with MAGIC”