Dashboard development that fits in an afternoon, not a sprint plan.
Dashboard development used to mean a React component, a D3 chart library, a backend aggregation query, a permissions layer, and a sprint to ship each dashboard. Strkr collapses the stack: a no-code builder for the common operating dashboards, an open API for teams who still want to render tiles in a custom portal, and an embedded tile library for product teams who want dashboards inside their own app.
No-code, API, and embedded. Each solves a different build.
Dashboard development is not one job. A sales ops lead wants a dashboard this afternoon. A product engineer wants to render customer-facing analytics inside their own app. A platform team wants dashboard data in a wall-display portal. Strkr serves all three with a single underlying data layer.
Path one
No-code drag-and-drop.
The default path. A sales ops lead opens the builder, drags tiles, picks measures and filters, and publishes a dashboard. No engineering ticket, no sprint, no deploy. The seat price covers the capability on every paid tier. 80 percent of internal dashboards are built this way.
Path two
Open API.
Every published dashboard exposes a JSON endpoint. A platform engineer fetches tile data with an authenticated token and renders it in a custom portal, a wall display, a terminal, or a mobile app. The API is REST-shaped, documented, and versioned. No proprietary SDK required.
Path three
Embedded tiles in a product.
For product teams building customer-facing analytics, Strkr offers an embedded tile library. The tiles render inside a product UI with tenant-scoped data and the product look and feel. The host app controls styling; Strkr handles the data lifecycle and the permission scope.
Shared data layer
One record of truth, three surfaces.
All three paths read from the same CRM record of truth. A no-code tile and an API-fetched tile return identical data because they share the same aggregation layer. No divergence between the internal dashboard and the embedded version. One source, three renders.
Permission inheritance
Scope follows the viewer, not the surface.
Permission scope follows the authenticated user, not the surface. An API call made with an AE token returns the AE scope. An embedded tile loaded with a customer token returns the customer scope. The scope lives on the user, not duplicated per surface.
No per-surface pricing
The seat is the seat.
Strkr does not meter per-tile, per-API-call, or per-embedded-view beyond platform tier limits. The seat price listed on the pricing page is the full price for the development capability. Teams rolling dashboards out broadly do not pay a tax for broad use.
The no-code builder in detail
What dashboard development looks like without writing code.
The no-code builder is where the common dashboards get built. The design intent is a drag-and-drop canvas tied to live CRM records, with role templates and shared parameters out of the box. The cards below walk the builder surface.
Grid canvas
Twelve-column responsive layout.
The canvas is a twelve-column responsive grid. Dragging a tile snaps to a column span. Resizing is a corner drag. The builder sees exactly how the dashboard will render on desktop and mobile without a separate preview mode.
Tile palette
Fifteen chart shapes on the left.
The palette ships with fifteen chart shapes: big number, trend line, horizontal bar, vertical bar, stacked bar, funnel, heatmap, donut, table, leaderboard, progress bar, map, scatter, histogram, and KPI card. Picking a shape attaches it to the chosen data source.
Source picker
Pick a CRM object.
Each tile asks for a source. The picker lists CRM objects (deals, contacts, accounts, activities, leads, products, orders) and custom objects. No SQL, no LookML, no dbt model. The picker scopes the field list to the chosen object.
Measure dropdown
Count, sum, average, median, percent.
Measures are a dropdown: count of records, sum of a numeric field, average, median, percentile, percent of a group. The dropdown updates the live preview. A sales ops lead who used to write a window function finishes it in three clicks.
Filter panel
AND and OR groups.
Filters apply at the tile level: open deals only, this quarter, Enterprise segment, won in the last 30 days. Filters compose as AND or OR groups. The live preview reflects the filter immediately so the builder sees the real number.
Role scope toggle
Scope by viewer, team, or floor.
Role scope is a toggle on the tile: scope to viewer (rep sees own), scope to team (manager sees team), or no scope (floor-wide). The scope is a permission check at render. One tile serves three audiences, not three copies.
Shared parameters
Dashboard-level filters.
Dashboard-level parameters (date range, segment, region, product line, owner) propagate to every opted-in tile. Switching the parameter at the top rerenders the dashboard. Parameters replace copy-paste duplication for different time windows.
Version history
Every change is recoverable.
Each save creates a version. A tile that broke is a one-click rollback. A manager who tweaked the dashboard before a QBR reviews the diff and restores the previous version if the new render reads less cleanly.
Publish and share
A URL, a permission list.
Publish generates a URL. Sharing is a permission list: individuals, roles, teams. Shared views respect record-level and field-level masking automatically. The build-to-share flow ends in a copyable link, not an export.
The API surface for engineering teams
What the open API gives a platform team.
For engineering teams that still want to build dashboards in their own stack, Strkr exposes an open API. The API returns the same aggregated data as the no-code builder, with the same permission scope on the authenticated user. The cards below walk what engineering teams get out of the API.
REST endpoints
Dashboard, tile, record.
The API exposes REST endpoints at three levels: a dashboard endpoint that returns the full tile set, a tile endpoint that returns a single tile aggregation, and a record endpoint for the underlying rows. Engineering teams compose at the level that fits their render stack.
Auth with tokens
Scoped access tokens.
API access uses scoped tokens issued per application. Tokens inherit the permission scope of the user they represent, so a wall-display token can be scoped to a role (not an individual) and the data returns the role scope. Rotation is a tenant admin operation.
Webhooks
Push on tile-threshold crossings.
Beyond pull-based API fetches, webhooks push on tile-threshold crossings. A pipeline coverage drop below 3x fires a webhook to a Slack bot, a wall display, or a custom alerting system. Engineering teams get push-based integration without polling.
OpenAPI spec
Documented and versioned.
The API ships with an OpenAPI 3 specification published alongside the docs. Engineering teams generate client SDKs from the spec in their language of choice. Versioning is major-minor-patch with deprecation notices well in advance of breaking changes.
Rate limits
Published and transparent.
Rate limits are documented per endpoint and per tier. The limits support realistic dashboard refresh patterns without requiring special arrangements. Teams building high-frequency wall displays run against the webhook path rather than polling the API aggressively.
Audit coverage
Every API call is logged.
Every API call writes to the audit log with the token, actor, endpoint, and response size. Security and compliance teams see dashboard data access through the same audit surface as UI access. A procurement questionnaire covers both surfaces with one answer.
Honest comparison against the build-your-own path
When no-code wins and when engineering still earns the build.
For a lot of teams the right path is no-code because the dashboard questions are standard sales operating questions. For some teams, engineering still earns the build. The cards below walk the honest decision frame.
Standard sales operations
No-code wins.
Pipeline, forecast, activity, lead response, quota, deal risk, account health, renewal: these are standard operating dashboards. No-code wins because the standard shapes are well understood and the build time is minutes, not sprints. An engineering build for these dashboards is a cost without a return.
Custom product analytics
API or embedded is right.
If the product team wants customer-facing analytics inside the product UI, the API or embedded path is right. The host app controls look and feel; Strkr handles data lifecycle. The customer-facing analytics render as part of the product rather than a separate reporting surface.
Wall displays and bespoke portals
API is the right fit.
A wall-display dashboard in the pit, a bespoke internal portal, or a mobile companion app wants the API path. Pull from the webhook on push events, poll the dashboard endpoint on a schedule, and render in whatever stack suits the display. Strkr handles the data, the host owns the render.
Novel analytical questions
Warehouse-plus-BI is still a lane.
For analytical questions that cross CRM, finance, product, and marketing data at warehouse scale, Looker or Tableau on top of a dbt-modeled warehouse is still the lane. Strkr integrates with both and keeps the operational dashboard side.
Writing a D3 chart from scratch
Usually a cost without a return.
Writing a bespoke D3 chart for a standard dashboard is almost always a cost without a return. The no-code chart library covers the common shapes. Engineering hours are better spent on product differentiation than on reinventing a bar chart.
The decision test
Would a template get you 80 percent?
If the answer is yes, go no-code. If the data model is bespoke, use the API with a custom render. If the dashboard crosses multiple source systems at warehouse scale, use a BI tool on top of a warehouse. The three paths cover the realistic dashboard-development question set.
Dashboard development without hiring an engineering team, with an open API when you want one.
Open a free trial, clone a dashboard template, or pull tile data through the API into your own stack. The seat price covers the full capability on every paid tier. No viewer meter, no per-dashboard charge, no proprietary SDK required.
Does Strkr require engineering time to develop a dashboard?
No. The default path is a no-code drag-and-drop builder tied to live CRM records. A sales ops lead builds a dashboard in minutes to hours without opening an engineering ticket. For teams that want to render dashboard data in a custom stack (wall display, internal portal, mobile companion app, embedded in a product), Strkr exposes an open REST API so engineering teams fetch tile data and render in whatever framework they prefer. The two paths share the same data layer and permission model, so a no-code tile and an API-fetched tile return identical data.
How does the dashboard API work?
The API is a documented REST surface with three endpoint levels: a dashboard endpoint that returns the full tile set, a tile endpoint that returns a single tile aggregation, and a record endpoint for the underlying rows. Access uses scoped tokens issued per application that inherit the permission scope of the user they represent. The API ships with an OpenAPI 3 specification published alongside the docs, so engineering teams generate client SDKs in their language of choice. Rate limits are documented per endpoint and per tier. Audit coverage logs every API call.
Can I embed Strkr dashboards in my own product?
Yes. For product teams building customer-facing analytics, Strkr offers an embedded tile library. The tiles render inside the host product UI with tenant-scoped data and the host look and feel. The host app controls styling; Strkr handles the data lifecycle and the permission scope. The embedded path is the right fit for SaaS products that want analytics inside the product rather than a separate reporting surface. The permission scope follows the authenticated user, so each customer sees only their own data.
How does dashboard development pricing work?
The no-code builder and the API are both included on every paid Strkr tier at the seat price. There is no per-dashboard charge, no per-API-call meter beyond tier-level limits, no viewer-based pricing for internal dashboards, and no separate reporting SKU. Embedded tiles for customer-facing use are available on Scale and Enterprise with a per-tenant allowance that fits most SaaS products. The pricing posture favors broad adoption rather than metered consumption, which keeps the dashboard surface available across the full team without a budget conversation.
What happens when the underlying data model changes?
The dashboard builder and the API both track the CRM schema. When a custom field is added or renamed, the builder shows the new field in the next edit session and the API documentation refreshes to reflect it. Dashboards referencing a removed field show a validation warning rather than silently rendering empty data. The versioning policy preserves existing dashboards through schema evolution; a dashboard built in Q1 continues to work in Q4 even if the CRM team added two new fields and renamed one.
Is dashboard access secure under the Strkr compliance posture?
Yes. Permission scope follows the authenticated user, not the surface. API tokens inherit the scope of the user they represent, embedded tiles respect the customer tenant scope, and internal dashboards respect the role scope at render. Audit coverage captures every access path (UI, API, webhook, embedded) in the same audit surface. Strkr is HIPAA compliant with a BAA available, GDPR and CCPA compliant, and the SOC 2 Type II report is in progress through 2026-Q4. The compliance posture covers dashboard development on all three paths without additional configuration.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
We use cookies.
Essential cookies keep the site working. If you accept, we also enable Google Analytics
so we can see which pages help and which don't. Reject to opt out entirely. Details in our
Privacy Policy.
