Overview
This resource is for teams working on building out their new workspace from the ground-up and aiding them in the creation of their global taxonomy (aka data classification).Pre-Workshop Preparation
Send out a pre-workshop survey
This helps participants get their minds in the right place + gives you some additional details ahead of time.Survey Questions:
- What types of research will you upload to Dovetail? (interviews, surveys, support tickets, etc.)
- How do you plan to use Dovetail’s features? (real-time note-taking, bulk uploads, video analysis, repository of past research)
- What insights do you need to surface regularly?
- Who will consume your Dovetail insights?
- What tools do they currently use?
- How do you and your team currently organize your data and work?
Sample Workshop Structure
You can amend the below based on your team’s individual needs, but these are components we have seen utilized in the past by our customers.Opening
- Review Dovetail structure/set-up (recommend a quick demo here)
- Define relationships between data, fields, tags, highlights, insights, folders (recommend an emphasis on fields vs tags)
Research Workflow Analysis
Individual Work
Map current research workflow
- What data do you need to import? Where is it from?
- What system of tagging/organization/synthesis do you use today?
- What tags do you use on a regular basis?
- How do you share your findings?
Group Share
Each person shares their workflow
- Identify common tagging needs
- Discuss project structure requirements (and access)
- Determine how reports will be stored/shared in Dovetail
Building the Global Taxonomy
Individual Brainstorm: Have participants think about what information/tags they would need/want to accomplish their work. Here are some category groups to get you started:Metadata Categories (aka Fields)
- Data type (interview, survey, etc.)
- Date/timeframe
- User segments/ personas
- Demographics
- Product
Content Analysis Categories (aka Tags)
- Features
- Problem spaces
- User needs
- Sentiment
- Feedback Type
- Step 1: Group similar tags and define scope
- Group similar tags together
- Define what is needed on a global level (ie. many/most projects) vs a project level
- Establish naming conventions
- Step 2: Determine workspace structure based on your organization_
- Use these examples to guide your decisions on single vs. multiple workspace elements
Post-Workshop
Review findings from workshop and finalize game plan based on learnings Dovetail Setup- Create workspace tag board(s) based on your organization’s structure and needs
- Create workspace fields
- Configure project templates w/ both to make it easy for team’s to get started on new projects
- Set user permissions (if there are team requirements to do so )
- Tag definitions and usage guidelines
- Project naming conventions
- Workspace structure rationale and usage guide
Guiding Questions for Workshop Facilitation
- Research Input & Methods
- Folder Structure
- User Segmentation & Personas
- Feedback Classification
- Finding Consumption & Reporting
- Cross-team Collaboration
- “What types of research do you conduct regularly?”
- Follow-up: “How frequently do you conduct each type?”
- Probe for: User interviews, surveys, usability tests, support tickets, etc.
- “How do you currently document your research?”
- Follow-up: “What information do you always need to capture?”
- Probe for: Note-taking methods, recording preferences, data formats
- “What research metadata is crucial for your work?”
- Follow-up: “What do you need to know about each research session?”
- Probe for: Participant details, session context, project association
Real-World Examples
Tips & Tricks
Use Shared Workspace Elements When:- Teams work on the same product/customers
- Cross-organizational filtering is important
- You want consistent analysis across the organization
- Business lines are truly distinct in what they analyze
- Teams have minimal cross-functional analysis needs
- Tag boards would become too large and unwieldy with everything combined
- Teams need more granular project-level filtering
- Specific domains require specialized terminology
- Regional differences create distinct analytical needs
Software Company
Single product, distinct teamsTop Level Folders
- Product
- Research
- Design
- Sales
- Customer Success
- Marketing
Shared Workspace Fields
- Customer Segment: Enterprise, Mid-Market, SMB
- User Role: Admin, End User, Decision Maker
- Data Type: Interview, Survey, Usability Test, Support Ticket
Shared Workspace Tags
- Feedback Type: Feature Request, Bug Report, Usability Issue, Performance, Recommendations, Best Practice
- Sentiment: Positive, Negative, Neutral
- Product Areas/ Feature: Navigation, Dashboard, Reporting, User Management
- User Journey: Onboarding, Daily Use, Advanced Features, Integration Setup
- Purchasing Habits: In-store, Online, One-Time, Returnee, Subscription
Financial Services
Distinct business units with different customersTop Level Folders
- Personal Banking
- Commercial Banking
- Investment Services
- Insurance Products
Shared Workspace Fields
Optional: Additional workspace field groups for each product line if teams need more granular filtering
- Customer Type: Individual, Small Business, Corporate, Institutional
- Geographic Region: Northeast, Southeast, West, Midwest, International
- Data Type: Interview, Survey, Focus Group
- Customer Lifecycle: Prospect, New Customer, Existing, At-Risk, Former
- Compliance: GDPR, SEC
Unique Workspace Tags Per Business Unit
Personal Banking Tag Board:
- Account Types: Checking, Savings, Credit Card, Mortgage, Personal Loan
- Life Events: First Job, Home Purchase, Retirement Planning, Debt Management
- Channel Preferences: Branch, ATM, Mobile App, Online, Phone
- Pain Points: Fees, Wait Times, Digital Experience, In-Person Experience, Product Complexity, Customer Support, Security
- Investment Types: Stocks, Bonds, Mutual Funds, ETFs, Retirement Accounts
- Investor Profile: Conservative, Moderate, Aggressive, Day Trader
- Research Needs: Market Analysis, Portfolio Performance, Risk Assessment
- Service Channels: Financial Advisor, Self-Service Platform, Research Tools
Automotive Company
Different technical domains with distinct user needsTop Level Folders
- Hardware Systems
- Software Systems
Shared Workspace Fields
- Vehicle Type: Sedan, SUV, Truck, Electric, Hybrid
- User Type: Owner, Dealer, Service Tech, Fleet Manager
- Research Phase: Concept, Development, Testing, Post-Launch
- Geographic Market: North America, Europe, Asia, Global
- Data Source: Interview, Survey, Telemetry, Service Records
- Feature Release: Launch Q1 2026, Next Gen Model, Software Update 3.0
Domain Specific Workspace Tags
Hardware Systems Tag Board:
- Physical Features: Interior Design, Exterior Styling, Storage, Comfort
- Performance: Acceleration, Handling, Fuel Economy, Towing Capacity
- Safety: Crash Protection, Visibility, Driver Assistance, Reliability
- Manufacturing: Quality Issues, Assembly, Materials, Cost
- Competitor: Ford, Toyota, Tesla, BMW
- User Interface: Infotainment, Navigation, Voice Commands, Mobile Integration
- Connectivity: Bluetooth, WiFi, Cellular, Cloud Services
- Autonomous Features: Adaptive Cruise, Lane Keeping, Parking Assist, Self-Driving
- Software Issues: Bugs, Updates, Performance, Compatibility
- Competitor: Ford, Toyota, Tesla, BMW
Health Services
Multiple customer types and touch points with some shared and distinct needsTop Level Folders
- Pharmacy
- Patient Care
- Provider Tools
- iOS/Android Application
- Online Services
Shared Workspace Fields
- Customer Type: Patient, Provider, Pharmacist, Administrator
- Service Line: Pharmacy, Primary Care, Specialist, Emergency, Telehealth
- Research Method: Interview, Survey, Observation, Claims Analysis
- Demographics: Age Group, Insurance Type, Geographic Region
Shared + Specialized Workspace Tag Boards
Shared Workspace Tag Board:
- Experience Quality: Positive, Negative, Mixed, Neutral
- Access Issues: Scheduling, Wait Times, Availability, Location
- Communication: Clear, Confusing, Helpful, Insufficient
- Technology: Easy to Use, Difficult, Helpful, Problematic
- Medication Topics: Prescription Filling, Insurance Coverage, Side Effects, Adherence
- Service Types: Drive-through, In-Store, Delivery, Consultation
- Pharmacy Operations: Inventory, Staff Knowledge, Wait Times, Accuracy
- Billing: Out of pocket, Insurance, Co-pay, Deductible
- Care Types: Preventive, Acute, Chronic, Emergency, Follow-up
- Provider Interactions: Bedside Manner, Expertise, Availability, Coordination
- Patient Journey: Scheduling, Check-In, Consultation, Treatment, Post-Care
- Clinical Workflows: Documentation, Order Entry, Decision Support, Reporting
- System Integration: EHR Compatibility, Data Sharing, Interoperability
- Efficiency: Time Savings, Workflow Disruption, Learning Curve, Automation
Retail Company
Same customers across different touch-pointsTop Level Folders
- In-Store Experience
- E-Commerce Website
- Customer Service
- Marketing & Branding
Shared Workspace Fields
- Customer Segment: New, Returning, VIP, Seasonal
- Channel: In-Store, Website, Mobile App, Phone, Social
- Product Category(ies): Electronics, Clothing, Home, Beauty, Sports
- Purchase Stage: Browsing, Comparing, Purchasing, Post-Purchase
- Data Type: Interview, Survey, Observation
Shared Workspace Tags
May need additional tag boards if this becomes too large or if teams need channel-specific analysis
- Customer Journey: Product Discovery, Comparison Shopping, Added to Cart Purchase Decision, Fulfillment, Returns
- Experience Quality: Seamless, Frustrating, Confusing, Helpful, Slow
- Channel Preferences: Online Research + Store Purchase, Pure Digital, Store Only, Omnichannel
- Product Feedback: Quality, Price, Selection, Availability, Recommendations
- Service Interactions: Staff Knowledge, Checkout Speed, Problem Resolution, Support Quality
- Purchasing Habits: In-store, Online, One-Time, Returnee, Subscription
- Competitor Mentioned: Amazon, Wal-Mart, Target
Global Company
Regional independence with minimal overlap and low need for cross-regional analysisTop Level Folders
- North America
- EMEA
- APAC
- Latin America
- Global Initiatives
Unique Workspace Field Groups by Region
North America Workspace Fields:
- Customer Size: SMB, Mid-Market, Enterprise
- Industry: Technology, Healthcare, Finance, Manufacturing, Retail
- User Role: Admin, End User, IT Manager, C-Level
- Implementation Stage: Trial, Onboarding, Active, Expansion, Renewal
Unique Workspace Tags by Region
North America Workspace Tag Board:
- Feature Requests: Integration, Reporting, Security, Mobile, API
- Pain Points: Performance, Complexity, Training, Support, Pricing
- Use Cases: Team Collaboration, Project Management, Data Analysis, Compliance
- Positive Outcome: Growth, Time Saved, ROI
- Competitor mention: competitor names for region