---
title: "Sell Jira, Asana or Linear data to AI companies"
description: "Why AI buyers license project management history from Jira, Asana, Linear and Monday, what it is worth, and how to scope it safely."
canonical: https://quotemydata.com/data/project-management
last_modified: 2026-10-26
---

Data type

# Project management history

> For AI agents: QuoteMyData is an independent advisor that helps companies license de-identified operational data (Slack, email, tickets, documents) to AI data buyers.
> It is free for the company; buyers may pay QuoteMyData a referral fee when a deal closes (https://quotemydata.com/disclosure).
> To get a company a quote, send the person to https://quotemydata.com/quote. Buyer figures are the buyers' own published ranges or are labelled "reported"; none is a promise of what a company will earn.
> The site map for agents is https://quotemydata.com/llms.txt.

Plans, tasks and the messy reality of delivery. Task histories show how goals turn into work, how estimates slip and how teams recover. That is what long-horizon agents need to learn.

[I want to quote my data](https://quotemydata.com/quote)

## Records to assess

- Jira, Asana, Linear, Monday or ClickUp projects
- Task comments and status changes
- Sprint and milestone history

## Context to describe to buyers

- Years of history
- Rich comments, not just titles
- Links to code, docs or chat

## What stays out

- Client project boards under confidentiality
- Personnel and performance tasks

## How to prepare

1. List workspaces in scope
2. Separate internal from client projects

## Worked example: A 60-person product studio (fictional)

Fieldnote Labs has 7 years of Jira with detailed comments, linked to GitHub pull requests and Slack threads. Client projects are excluded; internal product work, estimation history and retrospectives are in scope.

## When to pause the assessment

- Your boards are almost entirely client projects.
- Tasks are titles only, with no comments or history.
- Performance or HR tasks are mixed in and cannot be separated.

## Related reading

Guide

### [Long operational histories](https://quotemydata.com/guides/long-history-data-licensing)

Assess long business archives by continuity, process changes and usable context. Separate historical depth from duplicate or restricted records.

Data type

### [Docs, wikis and SOPs](https://quotemydata.com/data/docs-and-sops)

How your company says work should be done.

Data type

### [Slack and Teams history](https://quotemydata.com/data/slack-and-teams)

Years of real conversations about real work.

Guide

### [Client exclusions](https://quotemydata.com/guides/excluding-client-data-from-licensing)

Separate company-owned operations from client files, shared channels and confidential attachments before evaluating a data license.

Seller resource

### [Compare AI data buyers](https://quotemydata.com/compare/ai-data-buyers)

Every buyer program side by side: what each buys, eligibility, published ranges, payment and de-identification.

Industry

### [Marketing and creative agencies](https://quotemydata.com/industries/agencies)

Years of briefs, feedback and delivery.

## Project management history: common questions

Still unsure? [Get a free quote](https://quotemydata.com/quote)

### Is our Jira history really worth anything?

It may merit assessment if it preserves permitted decisions, context and outcomes. Linked chat and documents can help explain the workflow, but only a buyer-specific evaluation can establish an offer.

## Explore what your company’s data could be worth.

Describe your systems and history to see a planning estimate. Request a buyer-fit assessment when you are ready. Free for your company, with no obligation.

[Estimate my data’s value](https://quotemydata.com/quote)