Feature Requests Google Sheets Alternative

Track product feedback, map requests to releases, and prioritize features.

Summarize with AI

Your Feature Requests database at a glance

This template centralizes incoming product feedback, bug reports, and user ideas so your team can prioritize roadmap decisions with total clarity.

It connects Feature Requests directly to Customers, internal Users, and planned Releases, ensuring you always know who asked for what and when it ships.

Built-in AI automatically tags request categories, drafts customer-facing release notes, and researches company profiles directly from website URLs.

When product roadmaps break across shared spreadsheet tabs

Google Sheets makes sharing easy, but using it as a product backend leads to messy feedback tracking where anyone can accidentally edit roadmap data or overwrite formulas.

What a structured database changes

In a real database, every column enforces data integrity: dates remain valid timestamps, select tags stay consistent, and text fields never break underlying calculations.

Instead of fragile lookup formulas that fail when someone inserts a row, linked records connect each request to its requesting accounts and assigned product managers automatically.

This is exactly what Softr Databases are designed for, giving you a structured foundation that easily scales. (Softr can also connect to an existing Google Sheet if you need to pull data from one).

What you can do with this template

Group customer requests into unified release batches and instantly tally total feedback volume per organization without manual counting.

Leverage Database AI agents to automatically categorize incoming request descriptions and summarize complex feature sets into clear release notes.

Start using the system immediately to give your product managers, developers, and customer-facing teams one dependable source of truth.

Tables for Feature Requests

Users

Manage team members and customer contacts with roles and ownerships
Customers

Track client companies using AI-generated descriptions from websites
Feature Requests

Log product ideas and bugs with AI-powered automatic categorization
Releases

Plan product launches and generate release notes automatically with AI

Who is this Feature Requests database for

Designed for teams that need to turn raw customer feedback into actionable roadmap milestones.

Product Managers: Prioritize development backlogs and link high-impact ideas directly to targeted version releases.
Customer Success Teams: Log client enhancement requests and quickly monitor delivery status for key accounts.
Engineering Leads: Track bug reports and technical backend requirements grouped cleanly by release cycles.
SaaS Founders: Maintain a single source of truth for user feedback without juggling fragmented feedback forms.

How to take it further

Tailor the database schema to your exact release lifecycle. Add custom tags for development effort, rename status fields like In Progress or Planned, and create custom priority metrics in a few clicks.

Import your historical feedback and customer rosters in seconds using CSV bulk uploads or sync continuous submissions via API.

When your team is ready, generate an app with AI on top of this database. You can launch an internal roadmap dashboard for engineers or an external submission portal where clients submit ideas securely.

Using granular users and permissions, ensure clients only see their own submissions while product managers manage the full backlog.

How to use the Feature Requests template

1

Click Use template: Sign up or log in to your Softr account (it’s free, no credit card required!)
2

Fine-tune the database: Adjust fields, options, and , settings so the database matches your specific needs. You can rename fields, change select options, or modify default values.
3

Add your data: Replace the mock content with your own information. You can add data manually or import it quickly via CSV.
4

Build an app on top of your database: Create a Softr app on top of this database to have a custom interface where users can log in, view data, and collaborate.

Frequently asked questions

What is a feature requests database?

A feature requests database is a structured system used to collect, organize, and prioritize user feedback, product enhancements, and bug reports. It links specific customer suggestions directly to product roadmaps and release schedules, helping teams make data-backed product decisions.
Why use a no-code database to build a feature requests tool?

A no-code database provides instant structure, relational data linking, and field validations without requiring custom engineering resources. It eliminates broken formulas and uncontrolled edits while remaining completely customizable as your product workflow evolves.
How can AI help managing data for feature requests?

AI accelerates feedback management by analyzing raw feedback text and executing smart workflows directly inside your fields. With native Database AI agents, you can automatically categorize incoming submissions, summarize multiple feature updates into clean release notes, or research requesting companies from their website URLs.
Can I build an app with feature requests database?

Yes, you can easily build an app on top of your database by prompting the AI Co-Builder or assembling visual blocks. You can create client-facing request portals and internal product dashboards with granular permissions that control who can view, submit, or edit feature statuses.
Is this Feature Requests template free?

Yes, this database template is completely free to copy and use within your Softr workspace. Softr includes databases on all plans with unlimited collaborators, while higher tiers provide increased record limits and advanced functionality.
How is a feature requests database different from Google Sheets?

Unlike Google Sheets, a database enforces field types so dates, status dropdowns, and file attachments remain clean and uncorrupted. It natively links feature records to customer profiles and releases, avoiding fragile lookup formulas and accidental row deletions.