Watershed LRS + GitHub Integrations
Put Watershed LRS + GitHub to work with AI and enterprise-grade automation
Learn more about Watershed LRS integrations or talk to a human
4.9/5 on G2·
Google for Startups Accelerator
Workflows you can build between Watershed LRS and GitHub
See the kind of workflows teams build with Watershed LRS and GitHub below — describe the exact one you want above and the Agent builds it on demand.
Watershed LRS + GitHub
When a new statement occurs in Watershed LRS, record an issue or event in GitHub.
Log developer tasks for metric anomalies
When a critical performance threshold is crossed in Watershed LRS, automatically create an issue in GitHub so engineering can investigate immediately.
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Refresh business dashboards after code deployments
When a new software deployment is tracked in GitHub, immediately refresh your key performance dashboards in Watershed LRS.
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Alert team leads when critical bugs are resolved
When an issue status changes to resolved in GitHub, send an alert through Watershed LRS to keep stakeholders informed.
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Browse the full workflow library →
Looking to achieve something else with Watershed LRS and GitHub?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for Watershed LRS and GitHub
Everything Watershed LRS and GitHub can do inside a workflow — the triggers that start one and the actions that run when it fires.
Watershed LRS Explore Watershed LRS →
Watershed LRS is a learning analytics database that measures and evaluates corporate training and education programs.
TriggersTriggers when a new statement is added to the Learning Record Store.
Please only use this action if you have been explicitly instructed to do so by an expert. Consider the simple 'Send a Statement' action instead. .
Sends a Tin Can statement to the Watershed LRS. This action provides fields for you to complete to build the statement.
GitHub Explore GitHub →
GitHub is a cloud-based platform for version control and software development collaboration using Git.
TriggersTriggers when a new branch is created.
Triggers when you add a new collaborator.
Triggers when a new comment on a commit is created.
Triggers when a new commit is created.
Triggers when anything happens on a repo.
Triggers when you add/star a gist (public or private).
Add labels to an existing issue without removing existing labels.
Creates a new comment in an Issue or Pull Request.
Creates a new branch in a GitHub repository.
Creates a new file or updates an existing file in a GitHub repository.
Deletes an unwanted branch.
Creates a new gist.
Other Analytics & BI apps on Knit
Explore more Analytics & BI integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
Appbot
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ArborNote
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Arrivala
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Atlas
Atlas is a business intelligence platform designed to aggregate organizational data and generate visual performance dashboards.
Auryc
Auryc is a digital analytics platform that provides session replay, heatmaps, and customer behavior insights for web and mobile applications.
Behavior Sales
Behavior Sales is a sales intelligence tool that analyzes buyer personalities and communication styles to help sales representatives optimize outreach.
Birdeye
Birdeye is a customer experience and review management platform that gathers feedback, manages online reputation, and drives local reviews.
Brieferr
Brieferr is a data reporting and analytics platform that consolidates business metrics into automated summaries and insights for teams.
Other Developer Tools apps on Knit
Explore more Developer Tools integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
0CodeKit
0CodeKit is a suite of low-code developer utilities for converting, parsing, and manipulating data formats without server setup.
Action1
A cloud-based patch management and remote monitoring software that secures endpoint devices and software installations.
Alpaca
Alpaca is a developer brokerage platform that enables developers to build stock and cryptocurrency trading applications and automated algorithms.
Amazon CloudWatch
A monitoring and observability service that tracks metrics, logs, and server infrastructure across AWS resources.
Amazon Polly
Amazon Polly is a cloud service that uses advanced deep learning technologies to convert written text into spoken audio.
Amazon SQS
A fully managed message queuing service that enables decoupled and scalable cloud microservices, distributed systems, and serverless applications.
Apify
Apify is a web scraping and data extraction platform that automates web data collection using cloud-based bots and AI tools.
Approveit
Approveit is an operations approval workflow platform that automates internal requests and compliance approvals directly within messaging channels.
Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about Watershed LRS + GitHub
Is there a pre-built Watershed LRS + GitHub automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Watershed LRS and GitHub's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built Watershed LRS or GitHub connector?
No. The Agent works whether or not Watershed LRS or GitHub already has a pre-built connector in Knit's catalog — it researches the real API surface either way.
How long does it take to build?
Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.
Why connect metric alerts in Watershed LRS to developer workflows in GitHub?
When key business or system metrics breach defined thresholds in Watershed LRS, creating a ticket in GitHub ensures engineering addresses root causes immediately.
Can software deployments in GitHub update data in Watershed LRS?
Yes, tracking a new release in GitHub can prompt Watershed LRS to refresh relevant dashboards so you can analyze post-deployment impact instantly.