The North Star Playbook
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Airtable
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The First 100
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Sentry.io
Qrvey
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Omniscope
Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.
Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.
Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.
Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.
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Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Qrvey's answer:
Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.
Qrvey's key features include:
100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.
Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.
Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.
Based on our record, The North Star Playbook should be more popular than Qrvey. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Amplitude's North Star framework: https://amplitude.com/north-star. Source: over 1 year ago
How to build AI in your business Developing a data strategy using Wardley Mapping Digital Transformation in the Fintech sector Using the North Star Framework Advice for embarking on your AI journey His passion for serverless architectures Being involved with Open source groups and research AI Ireland talking to Dave from The Serverless Edge AI Ireland AI Ireland are a non-profit community devoted to... - Source: dev.to / over 1 year ago
I like a process where a team has a really good framework of product metrics (e.g. North Star Playbook) and then write their roadmap based on problem statements, hypothesis, and their expected impact on their metrics (and some of their metrics might lead to revenue directly or indirectly, e.g. You may have an problem space you want to work on, and you hypothesise that if you solve it, conversion will increase by... Source: over 2 years ago
Similarly, meet with your devs and engineers at regular intervals and analyze whether your existing North Star metrics are allowing them to gain a firm grasp of how well your product is working for your users. Let's say you're running a marketplace for sellers of bespoke goods. You may have started with "Monthly Listings per User" as your North Star only to find that "Time-to-Sell from First Listing" might prove a... - Source: dev.to / over 3 years ago
This metric of the product is also called the "north star" metric. Check out this reading, it is free: https://amplitude.com/north-star. Source: about 3 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
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