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Action Plan to Improve Decision Making Skills; Decision Making Action Plan

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How to Improve Decision-Making Skills in The Workplace

How to Improve Decision-Making Skills in The Workplace

Action Plan to Improve Decision Making Skills

Everyone needs to be familiar with the Decision Making Process. We all rely on information, and techniques or tools, to help us in our daily lives.

When we go out to eat, the restaurant menu is the tool that provides us with the information needed to decide what to purchase and how much to spend.

Operating a business also requires making decisions using information and techniques - how much inventory to maintain, what price to sell it at, what credit arrangements to offer, how many people to hire.

Decision Making Process in business is the systematic process of identifying and solving problems, of asking questions and finding answers. Decisions usually are made under conditions of uncertainty. The future is not known and sometimes even the past is suspect. This guide opens the door for business owners and managers to learn about the variety of techniques which can be used to improve your decision making process in a world of uncertainty, change, and uncontrollable circumstances.

A General Approach to Decision Making Process

Whether a scientist, an executive of a major corporation, or a small business owner you can benefit from improving your decision making skills. The general approach to systematically solving problems is the same. The following 7 step approach to better management decision making can be used to study nearly all problems faced by a business. (Action plan to improve decision making skills; decision making action plan.)

1. State the problem

A problem first must exist and be recognized. What is the problem and why is it a problem. What is ideal and how do current operations vary from that ideal. Identify why the symptoms (what is going wrong) and the causes (why is it going wrong). Try to define all terms, concepts, variables, and relationships. Quantify the problem to the extent possible. If the problem, not accurately and quickly filling customer orders, try to determine how many orders were incorrectly filled and how long it took to fill them.

2. Define the Objectives

What are the objectives of the study. Which objectives are the most critical. Objectives usually are stated by an action verb like to reduce, to increase, or to improve. Returning to the customer order problem, the major objectives would be: 1) to increase the percentage of orders filled correctly, and 2) to reduce the time it takes to process and order. A sub-objective could include to simplify and streamline the order filling process.

3. Develop a Diagnostic Framework

Next establish a diagnostic framework, that is, decide what methods are going to be used, what kinds of information are needed, and how and where the information is to be found. Is there going to be a customer survey, a review of company documents, time and motion tests, or something else. What are the assumptions (facts assumed to be correct) of the study. What are the criteria used to judge the study. What time, budget, or other constraints are there. What kind of quantitative or other specific techniques are going to be used to analyze the data. (Some of which will be covered shortly). In other words, the diagnostic framework establishes the scope and methods of the entire study.

4. Collect and Analyze the Data

The next step is to collect the data (by following the methods established in Step 3. Raw data is then tabulated and organized to facilitate analysis. Tables, charts, graphs, indexes and matrices are some of the standard ways to organize raw data. Analysis is the critical prerequisite of sound business decision making. What does the data reveal. What facts, patterns, and trends can be seen in the data. Many of the quantitative techniques covered below can be used during the step to determine facts, patterns, and trends in data. Of course, computers are used extensively during this step.

5. Generate Alternative Solutions

After the analysis has been finished, some specific conclusions about the nature of the problem and its resolution should have been reached. The next step is to develop alternative solutions to the problem and rank them in order of their net benefits. But how are alternatives best generated. Again, there are several well established techniques such as the Nominal Group Method, the Delphi Method and Brainstorming, among others. In all these methods a group is involved, all of whom have reviewed the data and analysis. The approach is to have an informed group suggesting a variety of possible solutions.

6. Develop an Action Plan and Implement

Select the best solution to the problem but be certain to understand clearly why it is best, that is, how it achieves the objectives established in Step 2 better than its alternatives. Then develop an effective method (Action Plan) to implement the solution. At this point an important organizational consideration arises - who is going to be responsible for seeing the implementation through and what authority does he have. The selected manager should be responsible for seeing that all tasks, deadlines, and reports are performed, met, and written. Details are important in this step: schedules, reports, tasks, and communication are the key elements of any action plan. There are several techniques available to decision makers implementing an action plan. The PERT method is a way of laying out an entire period such as an action plan. PERT will be covered shortly.

7. Evaluate, obtain Feedback and Monitor

After the Action Plan has been implemented to solve a problem, management must evaluate its effectiveness. Evaluation standards must be determined, feedback channels developed, and monitoring performed. This Step should be done after 3 to 5 weeks and again at 6 months. The goal is to answer the bottom line question. Has the problem been solved?

Specific Decision Making Techniques

The following techniques are used frequently by business and government managers. Some are familiar (Benefit-Cost Analysis), others more esoteric (Linear Programming). Some are used for planning projects, others for analyzing data. Most of these techniques are mathematical or have mathematical aspects to them. They all can be used during one or more of the steps of he General Approach, as just outlined.

Systems Analysis

Can be used by the business manager to study the inputs, processes, and outputs of the entire company, a division, or an office, depending on the nature of the problem. Inputs are the resources (manpower, materials, facilities) used by the business to produce the output (goods or services). Processes are the methods and organization which manager the conversion of inputs to outputs. By using Systems Analysis decision makers can evaluate the system's various components separately on the basis of established objectives (like cost or error rate). If a problem can be identified as belonging to a specific component of the system, it can be corrected. (Action plan to improve decision making skills; decision making action plan.)

Benefit-Cost Analysis

Is used to compare the pros and cons of various alternative solutions to a problem. To perform this type of analysis the manager must define the problem, determine objectives, develop alternatives, put a dollar value on all benefits and costs of each alternative, calculate the Benefit Cost Ratio (B divided by C) and/or the Net Benefit (B-C), and make the decision. This type analysis established a clear relationship between expenditure (cost) and purchase (benefit). It can be used to study problems in which the costs and benefits of alternative ways to achieve an objective can be assigned dollar values.

Input-Output Analysis

Charts the flow of a product from one industrial sector, company, department, or facility to another. It shows what inputs produce what outputs. I/O Analysis uses Transaction Tables, showing the purchasing and selling activities of buyers and sellers, and I/O Coefficients, the product sold by A to B divided by the output of B. It is used most often by larger companies to help with longer term planning but smaller manufacturing firms also may find this useful.

Regression and Correlation Analysis

Is used to study the relationship between or among variables, for example, the relationship of household income to product sales. It can be used to determine how increases in household income affect sales volume. If management wants to study the relationship between sales, and income, interest rates, and education, they would use Multiple Regression Analysis, Correlation Analysis refers to the study of how strong or accurate a relationship is, as well as such technical factors as measurement fit, deviation, and error. It often is used by companies to study demand, pricing, supply and cost curves.


Is used by management to simplify the complex world. A model is a (simplified) representation of a system, situation, or process. A model may be physical, symbolic, verbal, graphic, or mathematical. A good model strips away excess detail but leaves essential behavior. For example, a model could be a representation of a distribution system illustrated graphically with a flow chart. Models show relationships among the parts of a whole and assist with forecasting. Model building is used in the physical and social sciences, as well as in business management.

Linear Programming

Is a widely used mathematical method of determining an optimum, single solution to a problem such as finding the minimum staff cost or the most nutritional mixture of ingredients. This technique can be done by hand but today's computer software business management packages often contain Linear Programming instructions. The technique can only be used with problems that can be translated entirely into numbers and have with a single, optimum objective or solution. For example, in an office situation (say processing invoices) where there is a given total workload, an established workload per worker by skill (pay) level, and given staffing requirements, linear programming could be used to determine the least expensive mixture of worker skill levels to handle the given workload.

Econometric Analysis

Is used by companies (and the Government) for planning, forecasting, and model building. Through this type of analysis businesses can estimate demand cycles, cost and supply functions, income distribution changes, and so forth. Econometrics uses regression and correlation analysis. It is an attempt to quantify as many variables affecting a business as is possible. Larger companies often develop econometric models to get a picture of the future economy.

Forecasting (Action plan to improve decision making skills; decision making action plan.)

Is making decisions based on predictions of future trends and events such as inflation and interest rates, employment levels, or supply costs - all of which can affect sales of small businesses. There are three types of forecasting techniques: 1) Subjective or qualitative where you rely on expert judgments, 2) Time-Series Projections where you use quantifiable observations over time, and 3) Casual Models where you emphasize causal/correlational relationships. The principal emphasis in forecasting is looking for patterns and fluctuations over time.

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