The following are the major steps in planning process related to tourism and hospitality industry.
The first and foremost step in tourism planning process is finding out the need that should be fulfilled and making strategies for them. The research that need to be conducted for finding out these needs depend on mainly financial factors. Sometimes it need to be focused on a local region while in some cases national level surveys need to be conducted.
Next comes the process of declaring goals and objectives formulated with respect to Specific Measurable Assignable Realistic and Time-related Criteria.
Doing a survey with the existing data is the next step in the process of tourism planning. Reference can also be made through the reviews of websites, newspapers and magazines. various online resources can also be used while taking surveys.
How people behave at tourist places, the availability of accommodation and related facilities and other factors that affect the environment and weather can be surveyed using various methods. The importance of the tourist place is also a feature that needs to be surveyed. Conducting new surveys is done then to obtain data which can be compared with the statistical data. Online forms and offline forms can be used for taking surveys for collecting fresh data.
The data obtained through various surveys are then analysed using various charts like pie charts and bar diagrams. If a personal questionnaire is prepared for interviewing tourists then it can be checked for common ideas and things people share. Formulation of the initial plans is done depending upon these primary and secondary data analyses. If there is any modification need to be done taking into consideration of historical data it should also be planned.
The next important phase in the process involves the implementation of the plan taking into consideration the feasibility factors. The strategies formed need to be focused on the goal while implementing the plan.
The final step in the planning process involves monitoring of the data after implementation. If there is any variance obtained with the existing data it need to be reformulated for getting better results.