N’007 — Data Downloader.
Data Downloader
A no-code CSV tool that gave analysts, brokers, and fund managers direct access to property data — no Python, no Jupyter, no engineering dependency.
Client
Project Type
Timeline
Role
Live
Overview
The Data Downloader became the primary subscription conversion driver for the mid-tier plan. Non-technical users could go from signup to downloaded dataset without a single line of code — removing the single biggest barrier between Parcl Labs' data and the people who needed it most.
The Brief
The most valuable users on the platform — analysts, brokers, and fund managers — weren't technical enough to use the API directly. They wanted the data, not the infrastructure. The challenge was building a tool that removed the engineering dependency entirely while still giving users the flexibility to access deeply segmented property datasets across four distinct data categories.
Non-technical users needed a template-driven interface that surfaced the right dataset without requiring them to understand the underlying data model. The credit system had to be integrated without making the experience feel like a tollbooth. Partial download scenarios — where a query returned more rows than a user's credits covered — needed graceful handling that didn't punish users for asking good questions.
Designed a template-driven interface that mapped pre-configured data queries to common analyst workflows — the entry point was always a recognizable task, never a raw data model.
Decisions
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MCP Server Experience Design