Zuub

Discovery and requirements gathering (2–6 weeks)

• Stakeholder interviews to document business processes, data model, integrations, security/compliance needs.

• Define success metrics, KPIs, and a high-level implementation plan.

• Solution design and baseline configuration (2–6 weeks)

  • Map business processes to the software’s modules (e.g., CRM, ERP, procurement, analytics, etc.).

  • Create data migration strategy, data cleansing rules, and governance policies.

  • Define roles, access controls, and security model.

Data migration and integration planning (2–8 weeks, parallel with design)

• Inventory of source systems, data quality assessment, mapping to target schema.

• Set up ETL/ELT pipelines, APIs, middleware, and webhook configurations.

• Establish test data sets and migration cutover plan.

Build/configure and customization (4–12 weeks)

• Implement required configurations, workflows, automations, dashboards.

• Optional customizations: bespoke fields, custom objects, unique business rules, B2B portal features.

• Development of integrations with ERP, HRIS, payment gateways, BI tools, or legacy systems.

Testing and validation (2–6 weeks)

• Unit, integration, and end-to-end testing.

• UAT with key users, issue backlog and remediation.

• Performance and security testing (if applicable).

Training and enablement (2–4 weeks)

• Administrator and end-user training, knowledge bases, and runbooks.

• Change management activities to drive adoption.

Configurability vs. customization

• Most modern SaaS platforms offer extensive configuration (workflows, forms, roles, validations, dashboards) without code.

• Customizations may be required for unique business rules, integrations, or data models.

Common customization areas (data points you’ll want to confirm with Zuub):

• Data model: custom fields, objects, relationships, data types, and hierarchies.

• Business rules: custom validation logic, approval workflows, escalation paths, SLA definitions.

• Automation: custom triggers, actions, and scheduled tasks.

• Integrations: pre-built connectors vs. custom API integrations with ERP/CRM, HR, payments, BI, etc.

• UI/UX: tailored dashboards, reports, and analytics tailored to roles.

• Security: role-based access, multi-factor authentication, conditional access, data residency.

• Localization: language, currency, date formats for multi-region deployments.

• Extensibility: ability to build add-ons or use a marketplace/app ecosystem.

Data points to request:

• Maximum number of custom fields per object and any performance implications.

• Availability of custom objects and their limits (e.g., relations, nesting).

Setup/implementation fees

• One-time consulting/implementation fees covering discovery, design, data migration, and go-live support.

• Often based on scope, number of modules, data volume, number of integrations, and localization needs.

Subscription/licensing costs

• Per-user or per-user tiered pricing, with seat counts and license types (e.g., light vs. full access, admin licenses).

• Possible tier-based features (advanced analytics, automation limits, API access).

Data migration and integration costs

• Separate charges for complex data cleansing, mapping, and migration packages.

• API/integration costs may be included in a bundle or billed per connector/usage.

Custom development or professional services

• Fees for custom objects, workflows, and integrations not covered by standard configurations.

• Engagements with implementation partners or the vendor’s services team.

Training and enablement

• Onsite/virtual training sessions, user certifications, and knowledge base access.

Structured onboarding

• Guided setup sessions with an implementation or customer success manager.

• Role-based onboarding paths for admins, power users, and end users.

Training formats

• Live instructor-led training (virtual or on-site).

• Recorded video tutorials and a self-service knowledge base.

• Interactive product tours and in-app hints.

Certification and enablement

• User certifications or accreditation programs (optional).

• Runbooks, best practices, and governance playbooks.

Access to learning resources

• Comprehensive user guides, API docs (if applicable), and troubleshooting articles

• Sandboxed environment or training tenant for practice.

Adoption and change management

• Adoption coaching, best-practice templates, and KPI tracking.

• Quarterly or biannual refresh sessions aligned to product updates.

Support access and SLAs

• Tiered support (Standard, Pro, Premium) with defined response times.

• 24/5 or 24/7 support options, depending on region and plan.

• Named or dedicated success manager for enterprise deals.

Community and enablement

• Customer community forums, partners, and an app marketplace (if relevant).

• Regular product webinars, release notes sessions, and Q&A.

Data encryption

• At rest: encryption standards (e.g., AES-256).

• In transit: TLS 1.2+, 1.3 where available.

Access control

• Role-based access control (RBAC), least-privilege principles.

• Multi-factor authentication (MFA) options and integration with IdP (SAML, OAuth, SCIM).

Data residency and sovereignty

• Regional data centers, data replication across regions, and options for data localization.

Compliance and certifications

• SOC 2/3, ISO 27001, PCI DSS (if payments), HIPAA (if healthcare), GDPR/CCPA readiness.

• Feature support for data retention, deletion, and audit trails.

Data privacy and protection

• Data minimization, encryption keys management, and customer-managed keys (CSEK) if offered.

• DLP capabilities, anomaly detection, and monitoring for unusual access patterns.

Security testing

• Regular penetration testing, vulnerability assessments, and bug bounty programs (if offered).

Incident response

• Incident response process, security runbooks, and notification SLAs.

Backup and disaster recovery

• RPO/RTO targets, backup frequency, and failover capabilities.

Vendor risk management

• Third-party risk assessments, subcontractor controls, and change management processes.

Release cadence

• Many SaaS vendors operate with monthly or quarterly updates, plus critical security patches as needed.

• Some offer biweekly or quarterly product release trains; others run continuous delivery with regular major quarters.

Change scope

• Minor/elective updates (patches, small enhancements) vs. major version updates (new modules, architectural changes).

• Deprecations: clear timelines for sunsetting old features and data migration guidance.

Update management

• In-Application Release Notes: access to detailed notes within the product or on a customer portal.

• Change control for admins: scheduling windows, impact assessment, and upgrade validation in a staging/preview tenant.

• Backout plan: rollback options if a new release causes issues.

Testing and validation

• Availability of a sandbox/test environment to validate updates before production.

• Test scripts or guided validation checklists for admins and key users.

Availability and downtime

• Planned maintenance windows, expected downtime (if any), and maintenance notifications in advance.

Compatibility and integrations

• Impact on integrations (APIs, webhooks, connectors) and any required reconfigurations.

Ownership of data

• Explicit statement that customers retain ownership of their data stored in the platform.

• Any rights the vendor claims to use anonymized or aggregated data for analytics, product improvement, or benchmarking (and how data is anonymized).

Data export/portability

• Ability to export all customer data in a commonly usable format (CSV, JSON, XML) on request.

• Availability of data export at contract termination or upon request, including timing and any fees.

• Access to data schemas, data dictionaries, and mapping documents to facilitate migration to another system

Data retention and deletion

• Data retention periods after termination, including how long backups are kept and the process for secure deletion.

• Procedures for partial or full data erasure, including erasing backups and logs where feasible.

Data localization and residency

• Whether data can be stored and processed in specific regions or data centers.

• Cross-border data transfer controls and compliance with relevant regimes (e.g., GDPR SCCs, UK Addendum, etc.).

Data processing addendum (DPA)

• Existence of a DPA aligning with applicable data protection laws.

• Roles and responsibilities (controller/processor), subprocessor approvals, and breach notification timelines.

Elasticity and pricing

• How pricing scales with user count, data volume, API usage, or feature sets.

• Any minimum commitments, tier upgrades, or cap on scale-down without penalties.

Change processes

• How to request scale changes (notice periods, approval workflows, lead times).

• Impact on SLAs, support levels, and upgrade/downgrade cycles.

Termination of unused resources

• Handling of unused licenses or seats upon downsizing (refunds, credits, or immediate cessation).

Data and service continuity during scaling

• Impact on system availability, performance, and integrations when scaling up or down.

Commitment and governance

• Any annual or multi-year commitment requirements for larger deployments.

• Provision for mid-term adjustments without punitive charges.

Renewal type

• Auto-renewal terms, renewal notice periods, and how to opt out.

• Price renewal terms (annual increases, caps, or CPI-based adjustments).

Term length and termination rights

• Initial contract term length and options for renewal terms (12, 24 months, etc.).

• Early termination rights, including cause (breach, non-payment) and convenience.

Fees and charges

• All recurring and non-recurring fees (setup, onboarding, data migration, professional services).

• Fees for scale changes, additional modules, or exceeding usage limits.

Data handover at termination

• Timelines and processes for data export after termination.

• Post-termination access to data for a defined wind-down period, if any.

Transition assistance

• Exit assistance, including help with data migration, API access, and knowledge transfer.

SLAs and support continuity

• Continuity of support during the wind-down period and any transitional support packages.

Security and compliance continuity

• How security controls and compliance obligations are maintained during the wind-down phase.

Non-solicitation and non-compete (if included)

• Any restrictive covenants that could impact your organization post-termination.

Change control and pricing changes during renewal

• How price changes are communicated, negotiated, and documented.

Dispute resolution

• Governing law, venue, and escalation process for contract disputes.

Data protection during renewal

• Any updates to DPAs, subprocessor lists, or security certifications tied to renewal.

Security certifications

• SOC 2 Type II or SOC 3, ISO 27001, ISO 27017/18, PCI DSS (if payments), HIPAA (if healthcare), FedRAMP (if US public sector), CSA STAR, and others as relevant to your industry.

Privacy and data protection

• GDPR readiness, CCPA/CPRA, Singapore PDPA, LGPD, and regional privacy requirements.

• Data processing agreements, data localization options, and data subject rights handling.

Data handling controls

• Encryption at rest and in transit (algorithms, key management, customer-managed keys if offered).

• Access controls, MFA, SSO/SAML, SCIM provisioning, and audit trails.

Audit and monitoring

• Regular third-party security assessments, penetration testing cadence, vulnerability management, and security incident handling.

• Availability of audit reports or audit postcards for customer review.

Subprocessors

• Publicly available list of subprocessors, approval processes for new subprocessors, and right to object to significant changes.

Business continuity and disaster recovery

• RPO/RTO targets, backup schedules, failover capabilities, and disaster recovery testing frequency.

Regulatory-specific compliance

• If you operate in regulated industries (financial services, healthcare, etc.), confirm alignment with applicable sector regulations and any required attestations.