⁉️ Client Questionnaire

📋 What is Questionnaires?

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• Client questionnaires are structured sets of questions used to gather information from clients, ( about themselves / their requirements ).
• These questions help in a clear understanding of project requirements, expectations, and objectives.
• Send/Ask these questions to the client before starting the project and Encourage them to be as detailed as possible in their responses.

🎯 Why is it Important?

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• Gives Clarity on Project scope, Objectives, Expectations, and Deliverables.
• Get you away from the loop of constant Revision
• Collect detailed information about the client's needs and preferences.
• Helps in budget constraints & determining the compensation structure
• Ensure both parties are on the same page regarding Project Expectations.
• Establish project timelines and key milestones
• Address legal considerations, such as intellectual property rights.

📝 Client Questionnaires

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1. Client Information:

• Company/Organization Name
• Briefly describe your company/organization and its core values
• Industry/Niche
• Target Audience ( Age Group / Gender / Demographics / Language )
• Competitors ( list at least top 3 )
• Please list 4-8 adjectives that describe your brand/company
• Is there any unique selling point to your brand or product?

2. Project Overview:

• Can you provide a brief description of your business or organization?
• What specific problem or challenge are you looking to address with this data science project?
• What are your goals and objectives for this project?

3. Data Collection and Sources:

• What types of data do you currently have available for analysis?
• Are there any data sources you would like to incorporate into the analysis that you don't currently have access to?
• How is the data currently being collected, stored, and managed?

4. Data Quality and Preprocessing:

• How would you describe the quality of your data? Are there any known issues or concerns?
• Have you performed any data preprocessing or cleaning steps already? If so, can you provide details?
• Are there any missing values or outliers in the data that need to be addressed?

5. Project Scope and Deliverables:

• What specific outcomes or deliverables are you expecting from this project?
• Are there any specific metrics or key performance indicators (KPIs) that you will use to measure the success of the project?

6. Technical Requirements and Constraints:

• Do you have any preferences or requirements regarding the tools or technologies to be used for analysis (e.g., programming languages, frameworks, software)?
• Are there any technical constraints or limitations that need to be considered?

7. Timeline and Milestones:

• What is the desired timeline for completing this project?
• Are there any specific milestones or deadlines that need to be met along the way?

8. Stakeholders and Collaboration:

• Who are the key stakeholders involved in this project?
• How would you like to be involved in the project, and how often would you like updates or progress reports?

9. Privacy and Security:

• Are there any privacy or security considerations that need to be addressed when working with the data?
• Do you have any specific requirements or protocols in place for handling sensitive information?

10. Budget and Payment:

• What is your budget for this project?
• How would you like to handle payment (e.g., hourly rate, fixed project fee)?

11. Additional Comments or Questions:

• Is there any other information or context that you think would be helpful for me to know?
• Do you have any questions or concerns about the project that you would like to discuss further?