Data & analytics
Answer a question from your business data
Frame a business-data question, inspect the available evidence and prepare an analysis with checks and clearly stated limitations.
Claude
DATA & ANALYTICS / ANALYSIS
A source-backed build dashboard workflow for data & analytics. Review its inputs, setup and geographic limits before your first draft.
01 / WHAT TO TRY
Publisher description excerpt: “Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI…” Source ↗
These are Fieldwork’s preparation notes. Follow the source’s full input checklist for the specific task.
An analysis or visualisation with source-linked findings
This is a source-inspected starting point. Fieldwork has not run-tested this skill or measured time savings.
02 / CHECK THE FIT
Claude
Publisher documents a Claude/Agent Skills setup. Review the complete pack and its current installation instructions.
Geography-neutral workflow. Set Australian spelling, AUD, dates and business context explicitly; local compliance is not supplied by this label.
No named business app was detected in the inspected instructions.
Public instructions do not imply free access to Claude, ChatGPT, paid apps, API usage or generation services.
03 / SET IT UP
Pinned source snapshot; review publisher release and installation notes.
Platform-by-platform setup guide →04 / YOUR FIRST DRAFT
Replace the brackets and supply the required inputs. This prompt is Fieldwork’s example, not a tested guarantee or a replacement for installation.
Use build-dashboard for [business task]. Our business is in [country and state/territory], our currency is [currency], and the intended reader is [audience]. Use only the attached authorised inputs and approved policies. First identify missing information and unavailable tools. Prepare a draft for human review; cite the supplied evidence, separate assumptions, and do not send, publish, lodge, purchase or change records.Download prompt ↓
Check the data scope, calculations, definitions and missing values. Separate observed results from causal claims; protect personal and confidential information.