Data Collection Methodology

This section outlines the methodologies adopted by Soundspace for the purpose of data collection. While our overarching goals and operational requirements serve as the guiding light, the methodology serves as the "how-to" for data collection.

Methodologies Explained

1. Lean Methodology: This approach focuses on maximizing value while minimizing waste. In data collection, this translates to gathering only the most crucial data fields that align with our strategic objectives.

   • Validation Loop: Implement a "Build-Measure-Learn" loop to continuously validate the effectiveness of data collection.

   • Iterative Process: Frequently revisit and adjust data collection methods based on the feedback and data collected.

2. Design Thinking: Used primarily for research-oriented data collection, like user feedback and feature usage. This human-centric approach focuses on empathy, collaboration, and problem-solving.

   • Empathy Interviews: Conduct interviews or surveys through platforms like Typeform, especially when a better UX is a consideration.

   • Prototyping: Use a phased approach in rolling out new data collection forms or features. Initially, launch a 'low-fidelity' version, collect feedback, iterate, and then roll out the 'high-fidelity' version.

Data Collection Tools

• Memberspace: Utilized for initial membership signups. Adheres to Lean Methodology by only collecting essential user data.

• Typeform: Used for research-oriented and user experience-based data collection. Aligns with Design Thinking methodology.

• HubSpot: For post-sale customer interactions and serves as the central repository for customer data.

All tools use template-based designs for standardized data collection and underscore_case for field names, as per the Data Dictionary.

Questions for Methodological Alignment

1. What is the main objective of this data collection?

   • Is it aligned more with Lean (efficiency) or Design Thinking (user experience)?

2. What are the key data fields to be collected?

   • Are all fields essential, or can some be eliminated without losing value (Lean)?

3. How will the collected data be validated?

   • Is there a feedback loop in place to validate and refine the data collection process (Lean)?

4. How will the user experience be measured?

   • Are there plans for follow-up interviews or surveys (Design Thinking)?

Data Collection Protocols

1. Field Validation: All data fields should meet the validation criteria as outlined in the Data Dictionary.

2. Data Collection Review: A bi-weekly review of the data collection methods and fields should be conducted to ensure alignment with objectives and operational requirements.

3. Training: All personnel involved in data collection should undergo training to familiarize themselves with the methodologies and tools used.

4. Compliance: Ensure all data collection is compliant with privacy laws and organizational policies.

Best Practices

1. Data Minimization: Only collect essential data in alignment with Lean methodology.

2. User Experience: Ensure the user interface and question phrasing in Typeform are designed with a focus on user experience, following Design Thinking principles.

3. Data Validation: Validate all data against the criteria outlined in the Data Dictionary before handing it off to IT Ops.

4. Compliance: Ensure that all data collection activities are in compliance with data protection and privacy laws.

5. Training: Team members should undergo regular training on these methodologies and the usage of various tools for data collection.

6. Tone and Manner: Whenever written communication is involved in data collection, ensure it aligns with the organization’s predefined tone and manner.