This ready-to-use database helps product teams log, evaluate, and prioritize customer integration requests in a single, organized view.
It works by natively linking internal users, customers, and requested target apps directly to each specific request. This relational structure ensures you can track exactly which customers are asking for what, without endlessly duplicating data.
Built-in AI automatically extracts target app descriptions from their websites, summarizes long customer requests, and classifies urgency levels the moment new submissions arrive.
When you manage feature and integration asks in standard spreadsheets, data quickly becomes fragmented across messy columns and broken formulas. Tracking which customer asked for which tool usually means copy-pasting names multiple times in the same sheet.
In a well-structured system, every column enforces a data type, meaning dates stay dates and status dropdowns remain consistent. Instead of relying on fragile VLOOKUPs that break easily, tables connect naturally and scale gracefully across thousands of rows.
You can link an individual request to a specific customer profile and target app instantly. This is exactly what Softr Databases are designed for, keeping your product pipeline clean as customer feedback scales.
Stop manually researching every integration ask. With built-in Database AI agents, this template automatically pulls website descriptions for requested apps and flags high-urgency tasks instantly.
You can immediately start logging new requests, tracking internal team comments, and moving items confidently from "Evaluating" to "Completed" within a highly structured pipeline.
Manage internal team profiles, roles, and assigned integration work
Track client companies requesting integrations and their total volume
List third-party platforms with AI-generated professional descriptions
Track pipeline status using AI for summary generation and urgency scores
Centralize internal team discussions and updates for specific requests
This database is built for product and engineering teams scaling their platform connectivity.
You can easily tailor this database to match your specific product lifecycle. Modify the status dropdown choices, add new app categories, or tweak the AI urgency prompts to fit your exact evaluation criteria.
Bring in your existing backlog immediately without manual data entry. Simply bulk upload a CSV of past integration requests into the Requests table to get your whole pipeline into one system.
When your team is ready, you can transform this database into a complete internal tool by building an app on top of it.
Softr lets you add users and permissions so product managers can update statuses while success teams only submit and view requests. A well-structured database makes building this secure, dynamic workflow incredibly fast.
It is a structured system used to track, evaluate, and manage customer asks for third-party software connections. It clearly logs which customers want which apps, helping product teams seamlessly map out their integration roadmap.
A no-code database provides production-ready structure without requiring developer resources. You instantly get relational data, clean categorizations, and an easy-to-maintain system that scales far better than simple text documents or spreadsheets.
AI eliminates the manual work of triaging feedback. Database AI agents can automatically summarize lengthy customer asks, classify request urgency, and even search the web to pull details about requested third-party apps as soon as a record is added.
Yes, using an interface builder, you can connect this data directly to a custom front-end portal. You can create different views based on role, showing customer success reps just a submission form while giving product managers the full evaluation pipeline.
Yes, this template is completely free to get started. Softr's free plan includes database access and allows you to invite unlimited collaborators to help manage your requests pipeline.
Spreadsheets struggle with relational data, often requiring you to manually type a customer's name next to every feature they request. A native database connects separate tables—like Customers, Requests, and Target Apps—meaning data stays organized, searchable, and clean no matter how many asks you receive.
Build and launch your first app in under 30 minutes.