This product concept defines a path from CSV and Excel sales exports to daily, weekly and monthly dashboards. Column mappings require user approval before calculation, and metrics are designed to remain traceable to source rows. Time trends and product views help teams investigate sales questions. The product is at the design stage; demonstration scope, release readiness and deployment arrangements must be reviewed before operational use.
Configurable product
Turns approved CSV or XLSX mappings into traceable daily, weekly and monthly sales dashboards
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Each capability connects to a management need and action path
Preview the file structure and sample rows before calculation. Column names, value types and obvious inconsistencies should be reviewable so the user can select the right export and identify initial data issues before continuing through the proposed workflow.
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Use a guided flow to identify date, amount and product columns. User approval is required before calculation. Keep mapping changes visible so an incorrect interpretation of a source column does not become an apparently valid dashboard metric.
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Build time and product views from approved definitions. Make comparison periods, filters and metric logic visible. Sales leaders can then investigate a change in trend and pursue the next question with a clear understanding of the selected data.
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Keep each metric traceable to the rows used in its calculation. Showing the source, filters and approved mapping helps a reviewer investigate a discrepancy. Corrections can then be discussed using the underlying evidence and the calculation context.
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Product scope expands after value and feasibility are tested
Clarify the decision, stakeholders, constraints and current data. Review a sample report and one recurring decision with its accountable owners.
Output: A shared problem frameCompare options by value, feasibility and risk. Record assumptions, dependencies and the reasoning behind each priority for review.
Output: A prioritized opportunity portfolioDefine architecture, delivery method and continue-or-stop criteria. Include required sources, responsibilities and control points in the delivery plan.
Output: An executable roadmapEvaluate a bounded slice in a real workflow with real users. Compare results with a baseline and consider test limitations in the next decision.
Output: Decision-grade evidenceComplete controls, monitoring and capability transfer with your team. Transfer documentation, monitoring ownership and an incident path to the operating team.
Output: An owned operational solutionWho it supports
Outputs must fit the user's language, timing and accountability
For "Owners and sales leaders in small and medium-sized businesses", the "Sales Intelligence Dashboard" experience adapts its detail, metrics and actions to the responsibilities of that role
For "Teams that prepare sales reporting from CSV or Excel exports", the "Sales Intelligence Dashboard" experience adapts its detail, metrics and actions to the responsibilities of that role
For "Decision-makers who need to trace every metric back to source rows", the "Sales Intelligence Dashboard" experience adapts its detail, metrics and actions to the responsibilities of that role
Control and ownership
Data ownership, access, decision records and quality monitoring are part of product design
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