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Spectio helps with the prerequisite work of requirements gathering, prototyping, and documentation for business intelligence (BI) — so that you can focus on driving business value with data insights

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Co-define BI datasets, dashboards, and reports to maintain alignment and manage expectations between business and data stakeholders

Requirements Gathering

Conversational AI interface collects business requirements

Requirements Gathering

Dashboard Wireframing

Quickly sketch and define datasets, dashboards, and reports

Dashboard Wireframes

Metadata Definitions

Manage and map the metadata that comes from wireframes

Metadata Definitions

Mock Data Generation

Don't let the lack of data prevent definition of what needs to be done

Mock Data

Persona Development

Get better at anticipating business requester needs over time


Development Tasks

Automatically generate tasks needed to create data products

Development Tasks

How does it work?

Get AI-assisted generation of structured requirements, design wireframes, and data specifications for BI datasets, dashboards, and reports

AI Agents

AI Agents

Use conversational interface to communicate requirements — or upload an existing document


Intake Translation

Spectio translates your inputs into user stories, acceptance criteria, design wireframes, tasks, and more

Outbound Integration

Outbound Integrations

Export Spectio outputs to other tools in your BI stack like Jira, Slack, Power BI, Informatica, etc.

Who is it for?

Purpose-built for cross-functional BI workflows that require coordination between business stakeholders, the analytics layer, and data teams

Business Stakeholders

Easily communicate business requirements and what you expect from a data or dashboard

Spectio for Business Stakeholders

Analysts & PMs

Keep all stakeholders aligned, manage their expectations, and track collaboration and progress

Spectio for Business Analysts

Data Engineers

Get the business context necessary to enable data as a product and drive higher ROI

Spectio for Data Engineers

Stop Suffering From Common BI Pain Points

Address BI workflow bottlenecks that prevent effectively delivery of data insights to drive better and faster business decisions

Lack of Documentation

"One of the biggest challenges is in requirements gathering and documenting what is expected from the data requester. It's critically important, yet overlooked and often done poorly, leading to a lot of downstream problems."

AVP of Data Science & Analytics
Largest Membership-Only Warehouse Retailer

Complex Processes

"When executives want a dataset or a dashboard, they have to go through a long and complicated process to receive the output... only to realize it's not what they expected."

Director of Analytics
Leading Financial Services Company

Disparate & Generic Tools

"Most organizations I know tend to string together a variety of generic tools to manage their BI workflow — and it's painful to maintain. Lack of proper tooling is a significant barrier to productivity."

Director of Analytics
Leading Media Broadcasting Company

Ineffective Governance

"In many companies, it's common to have thousands of dashboards and datasets that are mostly redundant due to lack of reusability. It is difficult manage and support them."

Director of Analytics
Largest Coffee Company in the World