Admin training: Quick-start guidance for content editors and marketers
Documentation: Provide project notes and asset lists for ongoing maintenance.
G. Maintenance & updates
Content updates: Ongoing changes to text, images, or sequences.
Feature updates: Apply platform updates and adjust when new PandaSuite features are released.
Customisation
Design and UX customization
Full control over layouts, typography, colors, animations, transitions, and responsive behavior.
Custom interactions via the visual editor (no-code); more complex logic can be achieved with conditional rules and variables.
Content customization
Dynamic content via data sources (JSON, CSV, Google Sheets, etc.).
Localization: support for multiple languages and regional settings
Data integratio
REST/JSON data sources to pull live content.
Webhooks or simple API calls can be used to update content or trigger actions.
Media & assets
Support for images, videos, audio, PDFs, and interactive assets (drag/drop, hotspots, galleries).
Publishing targets
Publish as a web experience, PWA, or “packaged” app formats depending on licensing and distribution requirements.
Extensibility
While PandaSuite emphasizes a low-code approach, you can often accomplish specialized needs by combining built-in actions, plugins (where available), and data bindings.
White-labeling & branding
Full control over branding to match corporate identity for client-facing deployments.
Offline capabilities
Cache assets for offline use and define fallback behaviors.
Accessibility considerations
Basic accessibility features depending on platform; for highly regulated or accessibility-critical apps, confirm with PandaSuite on current capabilities.
Additional Costs
Subscription plans
Monthly or annual pricing tiers based on:
Number of projects
Team seats or editors
Access to higher-end features (data connections, offline mode, more storage)
Some vendors or partners offer a one-time onboarding or setup fee for larger projects or enterprise engagements.
Scope-dependent; could range from a few hundred to several thousand dollars, depending on complexity and training needs.
Maintenance & support
Ongoing support included in some plans; higher tiers may include priority support or dedicated success managers.
Optional extended support contracts, with SLAs (response times, issue resolution windows).
Data & hosting costs
If PandaSuite hosts assets or provides data services, there may be storage/ bandwidth charges beyond a free quota.
Licensing for publishing targets
If you need to distribute packaged apps via app stores, there may be additional licensing or distribution costs.
Professional services / training
Optional paid services for advanced training, custom templates, or hands-on workshops.
Localization and translatio
If you require localization workflows or translation management, there could be added costs for translation services or plugins.
Training
Onboarding & setup assistance
Guided onboarding to help new users create their first project.
Step-by-step walkthroughs of the PandaSuite editor, data bindings, and publishing options.
Access to starter templates and example projects to accelerate learning.
Self-paced learning resources
Comprehensive documentation covering core concepts, UI, actions, variables, data sources, and publishing.
Tutorial videos and getting-started guides.
Knowledge base with troubleshooting tips and best practices.
Hands-on training options
Live webinars or virtual training sessions led by PandaSuite specialists or certified partners.
Custom or private training workshops for larger teams, focusing on anatomy of projects, advanced interactions, and data integrations.
Community and support channels
Access to community forums or user communities for peer advice and example use cases.
Direct support through ticketing, with response times depending on plan level
Role-specific training content
Content editors (marketers, designers) training on content workflow, versioning, and publishing.
Developers or power users training on data connections, logic, and performance optimization.
Documentation and assets
Starter assets, fonts, and media guidelines to maintain consistency.
Best-practice templates to reduce iteration time.
Certification or partner-led training (optional)
Some ecosystems offer certification programs or partner-led training for agencies and enterprises.
Security Measures
Data in transit and at rest
Encryption for data transmitted over the network (TLS/HTTPS).
Encryption at rest for stored project assets and data where applicable.
Access control
Role-based access control (RBAC) to limit who can edit, publish, or manage projects
User authentication options (basic login, single sign-on where supported by the plan or enterprise deployment).
Data isolation
Project and user data isolation to prevent cross-project data leakage.
Data handling and privacy
Compliance considerations (GDPR or regional data protection practices) depending on region and enterprise agreements.
Clear data ownership statements and export/import capabilities.
Security assessments
Regular security reviews and updates to address vulnerabilities.
Patching and updates aligned with product lifecycle.
Backup and recovery
Regular backups and procedures for data restoration in case of incidents (as per service level and plan).
Updates
Update cadence
PandaSuite generally releases regular product updates that include feature enhancements, bug fixes, and performance improvements. Cadence can range from monthly to quarterly, with major releases announced in advance.
How updates are delivered
In-app or cloud-hosted updates: Many improvements are deployed to the cloud, benefiting all users automatically or with minimal action required.
Editor/app versions: For features related to the PandaSuite editor, users typically access updates within the editor environment; packaging features or offline capabilities may have separate considerations.
Release notes and communication
Public release notes detailing new features, deprecations, and known issues.
Notices about changes that require user action (e.g., breaking changes, migration steps).
Backward compatibility and deprecations
PandaSuite usually indicates deprecations well in advance and provides guidance on how to adapt projects.
Migration guidance is provided for any significant platform changes to minimize workflow disruption.
Security updates
Security patches are included in regular update cycles, with priority given to critical vulnerabilities as needed.
Data Ownership and Portability
Data ownership
The customer generally retains ownership of all content and data you supply to PandaSuite (assets, text, media, data sources, user-generated content, etc.).
PandaSuite typically acts as a data processor for those assets when processing or hosting them as part of a service.
Data access and export rights
Customers usually have the right to access and export their own data/assets from PandaSuite, often via:
Project export features (e.g., project package or JSON/manifest exports).
Data export options for any data stored within the platform (e.g., responses, form submissions, data bindings).
In many cases, you can request a data export at contract end or during a data retention window.
Data residency and localization
Data residency options may be available (e.g., selecting data center regions) depending on plan and enterprise arrangements.
Regional privacy laws (e.g., GDPR) may influence how data is stored and processed.
Data processing agreements (DPA)
For customers with GDPR/CCPA or other regulatory requirements, a DPA or equivalent data protection addendum is typically available to formalize roles (data controller vs. processor), security measures, sub-processor disclosures, and breach notification obligations.
Backups and retentio
PandaSuite generally maintains regular backups as part of service operations; customers should review backup retention windows and data restoration procedures as part of the SLA.
Deletion and end-of-service data removal
Upon contract termination, customers typically have the right to request deletion of personal data and assets, subject to legal obligations and data retention needs.
Confirm whether PandaSuite provides a final data export package and a defined deletion window after termination.
Scaling Up / Down
Flexible tiering and seats
Plans are usually designed to scale with team size (additional editors/users) and project count.
You can typically add or remove seats, projects, and data connections as needed.
Usage-based adjustments
Some models allow scaling by usage (e.g., number of active projects, storage, bandwidth) within an agreed tier or via add-ons.
Contract terms for scaling
Scaling up: Often involves a mid-cycle quote or an addendum to adjust pricing, seats, and features; deployment timelines are aligned with billing cycle.
Scaling down: May require a notice period and adjustments to future invoices; some plans may retain project data for a defined grace period before downscaling takes effect.
Downgrades and transferability
Downgrades are typically permitted at the end of a billing period, subject to any minimum terms. Note: Some features or data limits may be restricted in lower tiers.
Enterprise considerations
For large organizations, there may be a custom pricing agreement, dedicated success manager, and negotiated SLAs to support scaling (including data residency, security controls, and governance).
The terms & conditions for contract renewal and cancellation
Renewal model
Most PandaSuite licenses are annual or monthly, with automatic renewal unless canceled.
Enterprise agreements may have multi-year terms with custom renewal options.
Cancellation policy
Standard plans: Cancellation typically ends access at the end of the current billing period; data and assets may remain accessible for a grace period or require a data export before termination.
Enterprise agreements: Cancellation terms are outlined in the contract and may include minimum terms, notice periods, and termination for cause or convenience.
Data after cancellation
Post-cancellation data handling usually includes:
Access to export data for a defined window.
Final data export instructions and formats.
Deletion of customer data on PandaSuite systems within a specified timeframe, subject to legal or contractual retention requirements.
Fees and refunds
Refund policies vary; typical approaches include:
No refunds for unused portions of a prepaid period (prorated refunds are possible in some enterprise arrangements).
Partial refunds for early termination may be provided depending on the contract and governing law.
Compliance
General data protection and privacy
GDPR compliance considerations are typical in enterprise discussions, with DPAs and data processing guidelines available.
Regional privacy protections (e.g., CCPA) may be supported depending on deployment region and plan.
Security certifications (where applicable)
PandaSuite may pursue or maintain industry-standard security practices; however, specific certifications (e.g., ISO 27001, SOC 2, HIPAA) are often contingent on enterprise agreements and may require independent attestations or third-party audits.
For regulated industries, customers typically require a formal risk assessment and a compliance matrix provided by PandaSuite or its partners.
Data residency and sovereignty
Data residency options or restricted data transfer practices may be offered under enterprise terms.
Cross-border data transfers would be handled in line with applicable data transfer agreements.
Accessibility and inclusivity
Basic accessibility considerations are commonly documented; enterprise deployments may require more rigorous accessibility conformance per standards (e.g., WCAG) depending on use case.
Audit's and logs
Activity logging and audit trails are often available, especially in enterprise plans, to support governance and compliance reviews.
