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Enterprise research

One dashboard for many study types

We delivered a research operations dashboard on a shared database. The team can validate study intake, run statistics, export editable brand-formatted reports, and reuse historical studies for later product questions.

Archive of study binders beside a single research kiosk

Evidence at a glance

Evidence type
Delivered system
Organization scope
A major CPG company
Documented boundary and output
This case covers the delivered research operations system and its analysis and reporting paths. Client identity, category detail, and environment-specific tools stay confidential.

The situation

Sensory, consumer, and instrumental studies sat in disconnected files. Getting a new study into the live system still needed vendor engineering.

The live system already held multi-category research across consumer, sensory descriptive, and related measures. Two gaps remained: self-serve registration of new studies, and a path from historical studies into forward product-development questions rather than report replay only.

The approach

  1. Centralize the study store

    Sensory, consumer, and instrumental records move onto one governed relational model instead of scattered workbooks.

  2. Make intake self-serve

    Validated upload and registration paths let the client team add studies without a custom engineering ticket each time.

  3. Analyze and export

    Statistical models run in place, and the active result set exports as editable presentation files in the client brand format.

System or method for this case

Diagram of study inputs feeding an operating layer with intake, database, and export

What we delivered

  • Shared relational store across study types
  • Validated self-serve study intake
  • In-place statistical analysis
  • Editable brand-formatted presentation export
  • Path from historical studies into reformulation-style exploration

Technical pieces

Study registration and validation layerLive database query path and one-off upload pathStats engine shared by both pathsNative presentation export in client brand formatOptional formula-space / reformulation module on category data

What changed

Study intake, statistics, and editable brand-formatted exports now sit on one shared dashboard, and the team can add studies without a vendor engineering ticket each time.

Discuss a comparable system

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