How is Vantage different from ChatGPT or Claude?

ChatGPT and Claude are great for one-off generation. Vantage is a full workspace. It connects your tools, tracks dependencies across projects, catches conflicts between products, and surfaces what needs your attention every morning. It also remembers every past decision, so a new PM can query across all projects and get cited answers in seconds.

Do I have to switch away from Notion or Linear?

No. You keep all your tools. Vantage connects to them and builds intelligence on top. When you're ready, you can push tickets to Linear or Jira. But the value starts before you create anything — just by connecting your tools and seeing what the intelligence layer surfaces.

What happens on day one?

You connect your tools — GitHub, Linear, Slack — 2 minutes each. Vantage indexes your existing data overnight. By the next morning, you see your first decision queue: what's stale, what conflicts, what changed. No manual setup. No templates to fill out.

What if I only manage one project?

Vantage works for single projects, but it shines when you manage 3–5 or more. Conflict detection, cross-project memory, and the decision queue are most valuable when you have multiple projects that need to stay in sync. If you manage one project, start with the free tier and see if the cited query engine alone saves you time.

All data encrypted in transit and at rest. We never train on your data — the AI providers we use are contractually barred from it. You can disconnect any integration or delete your account at any time. Pursuing SOC 2 Type II.

How does Vantage keep documents and tickets up to date?

When context shifts, you add the new information and Vantage rebuilds every connected deliverable. Documents, prototypes, and tickets all update. You review the changes, accept or reject each one, and approve. Nothing updates silently, and every change is traceable.

How do I get started?

Sign up free at app.vantageos.tech. Connect your tools, and generate your first grounded document within minutes. No credit card required. Upgrade when you need more projects or features.

Can Airtable handle more than 1,000 requirements?

Yes. Airtable supports up to 50,000 records on the free plan and 100,000 on paid plans. For a typical product team managing 200-500 active requirements, Airtable handles the volume easily. Performance stays fast up to around 10,000 records per table with complex linked fields.

How do I migrate from a Google Sheet to Airtable for requirements?

Export your Google Sheet as a CSV file, then use Airtable's Import CSV feature when creating a new table. Airtable will auto-detect column types. After import, convert text fields to proper field types (single select for priority, collaborator for owner) and set up linked record relationships.

Is Airtable better than Jira for managing product requirements?

Airtable excels at flexible, PM-friendly requirements management with easy views and stakeholder access. Jira is better for engineering execution and sprint tracking. Many teams use Airtable for the requirements and discovery phase, then push accepted items to Jira for implementation tracking.

How-To2026-09-0310 min read

How to Create a Product Requirements Database in Airtable

Product requirements scattered across Google Docs, Slack threads, and meeting notes are effectively invisible. When requirements live in disconnected documents, PMs waste hours searching for context, priorities conflict without anyone noticing, and stakeholders constantly ask for status updates that require manual aggregation.

Airtable's relational database structure gives you the flexibility of a spreadsheet with the power of a real database. This guide shows you how to build a requirements management system in Airtable that links requirements to features, tracks priority and status, and provides views tailored to each audience — from engineers who need implementation details to executives who need a progress summary.

Step-by-step guide

Design the requirements table schema

Create a new Airtable base and add a table called Requirements. Define these fields: Requirement ID (auto-number with prefix R-), Title (single line text), Description (long text), Priority (single select: P0-Critical, P1-High, P2-Medium, P3-Low), Status (single select: proposed, accepted, in-progress, completed, deferred), Source (single select: customer-feedback, internal, data-insight, stakeholder), and Owner (collaborator).

Use auto-number for Requirement ID so every entry gets a unique sequential identifier automatically
Add a formula field that concatenates the ID and title for easy reference in linked records
Include an Effort Estimate field (single select: XS, S, M, L, XL) for rough sizing

Create a linked features table

Add a second table called Features with fields for Feature Name, Description, Target Release (single select with your release names), and Status. Link Requirements to Features using a linked record field so each requirement points to the feature it supports. This relationship lets you see at a glance which features have all their requirements met and which have gaps.

Add the linked record field in Requirements that points to the Features table
Use a rollup field in Features to count linked requirements and calculate completion percentage
Add a lookup field in Requirements that pulls the target release from the linked feature

Add stakeholder and dependency tracking

Add a Stakeholders table linked to Requirements for tracking who requested or approved each requirement. Add a self-referencing linked record field in Requirements called Blocked By to track dependencies between requirements. These relationships surface which requirements cannot move forward and who needs to be consulted when priorities change.

Create the Blocked By linked record field pointing back to the same Requirements table
Add a Blocks field as the reverse of Blocked By to show downstream impact of each requirement
Include a Notes field for capturing the rationale behind priority and status decisions

Build tailored views for different audiences

Create a Kanban view grouped by Status for the engineering team's daily standup. Create a Grid view sorted by Priority then Effort for backlog grooming sessions. Create a Gallery view filtered to P0 and P1 items with a target release filter for executive reviews. Each audience gets exactly the information they need without wading through irrelevant detail.

Create a 'Backlog Grooming' view sorted by priority descending, then effort ascending
Create a 'Sprint Board' Kanban view grouped by status and filtered to the current release
Create an 'Executive Summary' view showing only P0/P1 items with a feature rollup column

Set up automations for status updates

Use Airtable Automations to trigger notifications when key changes happen. Create an automation that sends a Slack message when a requirement moves to in-progress. Create another that emails the stakeholder when their requested requirement is completed. These automations eliminate the manual status update emails that consume PM time.

Trigger a Slack notification to the engineering channel when any P0 requirement is created
Send an email to the requirement owner when status changes to completed
Create a weekly digest automation that summarizes newly proposed requirements for the PM team

Import existing requirements and establish the intake process

Migrate your existing requirements from whatever scattered locations they live in — Google Docs, Notion, Slack bookmarks, email threads. Use Airtable's CSV import or copy-paste from a spreadsheet. Then establish the intake process: new requirements enter as 'proposed' status, go through a weekly triage meeting, and are either accepted with a priority or deferred with a reason.

Export existing requirements to CSV format and use Airtable's import feature to bulk-load them
Create an Airtable form for stakeholders to submit new requirements without needing base access
Document the triage process: who attends, what criteria determine acceptance, and how priorities are assigned

Common mistakes

Treating Airtable like a flat spreadsheet

The power of Airtable is in linked records and rollups. If you put everything in a single table with text fields, you lose the ability to track relationships between requirements, features, and stakeholders. Use linked tables from the start.

Not defining a clear intake process

Without a defined process, requirements accumulate in the proposed state forever because nobody owns the triage step. Establish a weekly cadence for reviewing new requirements and assign a rotating PM to lead the triage.

Creating too many priority levels

Five or more priority levels create ambiguity — what is the real difference between P3 and P4? Stick to four levels (P0-P3) with clear definitions: P0 blocks revenue, P1 is committed for this quarter, P2 is planned, P3 is backlog.

Tips

Use Airtable's form feature to create a public-facing requirement submission form that feeds directly into your database without giving submitters edit access to other records

Add a RICE score formula field (Reach x Impact x Confidence / Effort) to automate prioritization scoring alongside your manual priority assignment

Sync your Airtable base to a Slack channel using the Airtable Slack integration so new P0 requirements automatically alert the team

Create a dashboard using Airtable's interface designer to visualize requirement distribution by priority, status, and feature area

How Vantage helps

Vantage extracts requirements directly from your PRD with AI-powered analysis, automatically prioritizing them based on effort, impact, and dependencies. Instead of manually entering requirements into Airtable, Vantage generates a structured, prioritized requirements list that is ready to manage and track.