10 COMMON EVALUATION MISTAKES

by Melvyn Tan

L INECONSULT ING.COM

QUESTION?What are these

common mistakes and how do you avoid

them?

TOP 10 COMMON MISTAKES

1. Not back by right data/information2. Not consistent3. Not structured4. Too structured5. Lack of documentation6. Lack of in-depth analysis7. No improvements identified8. Not feedforward9. Over-reliance on hard data10.Over-reliance on supplementary

data

Data and information

• A set of valid and reliable data and information is required

• Apart from hard data, use supplementary data

• Using supplementary evidences alone

TOP 10 COMMON MISTAKES

Structured approach

• Lack of consistency• Lack of a structured approach• Too structured – one size fits all• Does not translate to future

plans

TOP 10 COMMON MISTAKES

Best Practices & Improvements

• Lack of in-depth analysis• Sub-standard improvements• Lack of proper

documentation

TOP 10 COMMON MISTAKES

HOW TO AVOID THEMMistakes What To Do

Data and Information

• Valid and reliable data• Hard and supplementary

data• Avoid supplementary data

aloneStructured Approach

• Consistency• Well-defined process• Feedforward to future plans

Best Practice &

Improvements

• In-depth analysis• Sources of improvements• Proper documentation

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