30 specimens
Data Chart catalogue
Data Chart
templates.
Pick a data chart when the story is in the numbers — comparing values, showing trends over time, highlighting outliers. Bar charts for comparison, line charts for time series, area charts for cumulative totals. Use a pie chart only for parts-of-a-whole.
Fig. 01
Data Chart→Microservices ArchitectureA data chart template mapping microservices boundaries and communication flows, ideal for software architects, DevOps engineers, and development teams.Fig. 02
Data Chart→User Authentication FlowA data chart template mapping the full user authentication flow—login, session management, and logout—ideal for developers, security architects, and UX teams.Fig. 03
Data Chart→OAuth 2.0 AuthorizationA data chart template illustrating the OAuth 2.0 authorization code grant flow, ideal for developers and architects documenting secure API authentication workflows.Fig. 04
Data Chart→CI/CD PipelineA data chart template mapping every stage of a CI/CD pipeline from code commit to production deployment, ideal for DevOps engineers and engineering managers.Fig. 05
Data Chart→Kubernetes DeploymentA structured data chart template mapping Kubernetes deployments—pods, services, ingress, and rollouts—ideal for DevOps engineers and platform teams.Fig. 06
Data Chart→REST API Request LifecycleA data chart template mapping the full REST API request lifecycle from client call through server, middleware, and database and back, ideal for backend developers and architects.Fig. 07
Data Chart→Git Branching StrategyA data chart template visualizing Git branching workflows like Trunk-based and GitFlow, ideal for dev teams planning version control strategies.Fig. 08
Data Chart→User Onboarding FlowA data chart template mapping the first-run experience for new users, ideal for UX designers, product managers, and growth teams optimizing onboarding.Fig. 09
Data Chart→Product Launch PlanA data chart template mapping Beta, marketing, GA, and post-launch phases, ideal for product managers and go-to-market teams planning a structured release.Fig. 10
Data Chart→Database MigrationA data chart template visualizing zero-downtime database schema migration steps, ideal for DBAs, DevOps engineers, and backend developers planning live system upgrades.Fig. 11
Data Chart→Event-Driven ArchitectureA data chart template mapping producers, brokers, and consumers in event-driven systems, ideal for architects and engineers documenting async workflows.Fig. 12
Data Chart→Incident Response RunbookA structured data chart template mapping detect, triage, mitigate, and post-mortem phases, ideal for security and DevOps teams building incident response runbooks.Fig. 13
Data Chart→E-commerce Checkout FunnelA data chart template visualizing each stage of the e-commerce checkout funnel from cart to order confirmation, ideal for UX analysts, marketers, and e-commerce managers.Fig. 14
Data Chart→Customer Feedback LoopA data chart template mapping the collect, analyze, act, and communicate stages of a customer feedback loop, ideal for CX teams and product managers.Fig. 15
Data Chart→A/B Testing WorkflowA data chart template mapping the full A/B testing workflow—hypothesis, design, ship, and decide—ideal for product managers, growth teams, and UX researchers.Fig. 16
Data Chart→Agile Sprint CycleA data chart template visualizing the Agile sprint cycle phases—Plan, Build, Review, and Retro—ideal for scrum masters, product owners, and agile teams.Fig. 17
Data Chart→Hiring PipelineA data chart template visualizing every hiring stage from sourcing to offer, ideal for recruiters and HR teams tracking candidate flow and conversion rates.Fig. 18
Data Chart→Employee OnboardingA data chart template mapping employee onboarding milestones from day one through 90 days, ideal for HR teams and managers tracking new hire progress.Fig. 19
Data Chart→Lead Qualification (BANT)A data chart template visualizing BANT lead qualification scores across Budget, Authority, Need, and Timing, ideal for sales teams and CRM analysts.Fig. 20
Data Chart→Feature RolloutA data chart template tracking feature rollout stages—internal, beta, percent rollout, and GA—ideal for product managers and engineering teams monitoring release progress.Fig. 21
Data Chart→Code Review ProcessA data chart template visualizing key metrics across the code review lifecycle, ideal for engineering managers and DevOps teams tracking PR efficiency.Fig. 22
Data Chart→Customer Support TriageA data chart template mapping ticket intake to resolution stages, ideal for support managers and CX teams tracking triage workflows and performance metrics.Fig. 23
Data Chart→Sales PipelineA sales pipeline data chart template that visualizes lead volume, conversion rates, and deal flow from prospecting to closed-won, ideal for sales managers and revenue teams.Fig. 24
Data Chart→Change ManagementA data chart template mapping the full change management lifecycle—propose, review, schedule, and deploy—ideal for IT managers and change advisory boards.Fig. 25
Data Chart→Invoice Approval WorkflowA data chart template mapping the invoice approval workflow—receive, validate, approve, and pay—ideal for finance teams and accounts payable managers.Fig. 26
Data Chart→Machine Learning WorkflowA structured data chart template mapping the full ML workflow—data prep, training, evaluation, and deployment—ideal for data scientists and ML engineers.Fig. 27
Data Chart→Data Warehouse SchemaA data chart template illustrating star schema structure with fact and dimension tables, ideal for data architects, BI developers, and analysts designing data warehouses.Fig. 28
Data Chart→ETL Data PipelineA data chart template visualizing ETL pipeline stages—extract, transform, load—ideal for data engineers, analysts, and BI teams mapping data workflows.Fig. 29
Data Chart→Project KickoffA data chart template for visualizing project kickoff elements—charter, stakeholders, plan, and communications—used by project managers and team leads.Fig. 30
Data Chart→Analytics Event TrackingA data chart template mapping the full analytics event lifecycle from client emit to dashboard, ideal for data engineers, product analysts, and developers.
←All templatesBrowse by topic instead