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.

How do you organize feature requests in Linear?

Create a dedicated Feature Requests project with a custom workflow (Triage, Under Review, Planned, Declined). Use label groups for source (Customer, Internal, Sales) and theme (product area). Build custom views for triage, prioritization, and pattern analysis. Process the triage queue weekly to prevent backlog staleness.

How do you prioritize feature requests?

Score each request on four dimensions: number of unique requests, revenue impact of requesting accounts, strategic alignment with roadmap themes, and estimated effort. Use a composite score (sum of dimension scores) to rank requests. Review the ranked list during planning and promote top-scoring items to your active roadmap.

Should you use a separate tool for feature requests?

Use the same tool your team uses for execution if possible — Linear, Jira, or similar. A separate feature request tool creates another system to maintain and disconnects requests from the work that fulfills them. The value of tracking requests in your project management tool is the direct link between the ask and the implementation.

How-To2026-09-0310 min read

How to Set Up Feature Request Tracking in Linear

Feature requests come from everywhere — support tickets, sales calls, user interviews, Slack messages, and your own team's ideas. Without a structured pipeline, they pile up in a spreadsheet that nobody reviews, or worse, the loudest customer gets prioritized regardless of strategic fit. A proper feature request system captures every signal, deduplicates similar asks, and surfaces the highest-impact opportunities.

Linear's label system, custom views, and triage workflow make it a strong home for feature request tracking. This guide shows you how to set up a dedicated pipeline that routes requests from any channel into a single backlog, scores them using a consistent framework, and promotes the winners into your active roadmap — all without leaving the tool your team already uses for execution.

Step-by-step guide

Create a dedicated feature requests project in Linear

Create a new project in Linear called 'Feature Requests' with a status workflow: Triage > Under Review > Planned > Declined. This project is separate from your execution projects and serves as the intake pipeline. Every feature request starts as a Triage issue and moves through the workflow as it is evaluated.

Create the project and customize the workflow states
Set the project lead to the PM responsible for triage
Add a description explaining how to submit and what happens to requests

Define a label taxonomy for categorization

Create a label group called 'Request Source' with labels: Customer, Internal, Sales, Support, and Research. Create a second group called 'Request Theme' with labels matching your product areas: Onboarding, Reporting, Integrations, Admin, etc. These two dimensions let you analyze patterns — 'most requests from Sales are about Integrations' — and prioritize accordingly.

Go to Settings > Labels and create the two label groups
Train your CS and sales teams on which labels to apply when submitting
Review and consolidate labels quarterly to prevent proliferation

Set up intake channels that feed into the project

Configure the paths that turn raw feedback into Linear issues. Set up a Slack workflow that lets anyone submit a feature request via a form, which creates a Linear issue automatically. For email requests, use Linear's email integration or a Zapier connection. For internal ideas, create an issue template that prompts for context.

Create a Slack workflow with fields: Feature description, Customer name, Urgency, Supporting evidence
Connect it to Linear via the Slack integration or Zapier
Create an issue template in the Feature Requests project with pre-filled sections

Build a scoring framework for prioritization

Add custom properties or use the issue description template to capture scoring data: Number of Requests (how many unique customers asked), Revenue Impact (ARR of requesting accounts), Strategic Alignment (does it match roadmap themes), and Effort Estimate (T-shirt size). Score each dimension on a 1-5 scale and calculate a composite priority score.

Add a scoring section to your issue template with fields for each dimension
Define what each score means (e.g., Revenue Impact 5 = represents > $500K ARR)
Use Linear's priority field to reflect the composite score: Urgent (20+), High (15-19), Medium (10-14), Low (< 10)

Create views for triage and analysis

Build three custom views: 'Triage Queue' (all issues in Triage status, sorted by creation date), 'Top Requests' (all issues sorted by priority, grouped by theme), and 'Request Heatmap' (grouped by Request Source label). The triage queue is your weekly inbox; the top requests view feeds planning; the heatmap reveals which channels generate the most valuable signals.

Create the Triage Queue view filtered to Status = Triage
Create the Top Requests view sorted by Priority descending, grouped by Request Theme
Create the Heatmap view grouped by Request Source for pattern analysis

Establish a weekly triage cadence

Schedule a thirty-minute weekly session where the PM reviews all new Triage issues, applies labels, assigns initial scores, and moves them to Under Review or Declined. Items that score above your planning threshold move to Planned and get linked to the relevant execution project. This prevents the backlog from becoming a graveyard of unreviewed requests.

Block thirty minutes weekly for triage
Process each Triage issue: label it, score it, move it, or decline it with a reason
For Declined requests, always add a note explaining why — this is important if the customer follows up

Common mistakes

Treating every feature request as a commitment

Capturing a request is not promising to build it. Make this clear in your submission workflow — 'Feature requests are evaluated quarterly against our roadmap priorities.' Without this framing, customers and internal stakeholders expect everything they submit to appear in the next sprint.

Not deduplicating similar requests

Ten slightly different requests for 'better reporting' are one feature request with ten data points. Before adding a new issue, search for existing ones and add the new requester's context as a comment. The request count is a critical prioritization input that gets lost when you create duplicates.

Declining requests without explanation

A silent decline erodes trust with the people who took time to submit feedback. Always add a decline reason: 'Does not align with current strategic priorities' or 'Addressed by upcoming feature X.' This shows the feedback was heard even when the answer is no.

Tips

Add a 'Customer Names' text field to each request issue so you can quickly see which accounts asked — this is invaluable during renewal conversations.

Create a monthly 'Feature Request Report' by exporting the top requests view — share it with leadership to demonstrate what customers are asking for.

Use Linear's 'Subscribe' feature to let requesters follow the issue — they get notified when the status changes without you sending manual updates.

Link Planned requests to the execution issues that implement them, so when the feature ships, you can trace it back to the original customer need.

How Vantage helps

Vantage can ingest your Linear feature request backlog as context when generating a PRD. When you start a project, Vantage surfaces the most relevant feature requests — with their customer context and scoring data — so your PRD addresses real user needs backed by quantified demand, not assumptions.