Agile Hive vs. Hive

Agile Hive is used for our value train
within a SAFe setup. Every quarter we organize a so-called Product Increment
(PI) Planning, where we plan all Features and Enablers in Agile Hive.
Based on the priority of the Product Manager all teams plan their Features and
Enablers accordingly to the sprints that are determined by the Release Train
Engineer and set up in Agile Hive. The teams then create User Stories and
estimate them and based on their sprint velocity (defined in Agile Hive)
Product Owners can see how many Features and Enablers are realistic in one
quarter (Product Increment). Further, dependencies across teams can be defined
and made visible in Agile Hive, so that the plan is feasible. Without Agile
Hive it would be hard or impossible to plan across several teams within a value
train and to manage all dependencies. Additionally, with Agile Hive the plan is
more realistic, so what can be achieved within one quarter in product
development.

Incentivized

Hive is a powerful tool for data analysis and management that is well-suited for a wide range of scenarios. Here are some specific examples of scenarios where Hive might be particularly well-suited: Data warehousing: Hive is often used as a data warehousing platform, allowing users to store and analyze large amounts of structured and semi-structured data. It is especially good at handling data that is too large to be stored and analyzed on a single machine, and supports a wide variety of data formats. Batch processing: Hive is designed for batch processing of large datasets, making it well-suited for tasks such as data ETL (extract, transform, load), data cleansing, and data aggregation.Simple queries on large datasets: Hive is optimized for simple queries on large datasets, making it a good choice for tasks such as data exploration and summary statistics. Data transformation: Hive allows users to perform data transformations and manipulations using custom scripts written in Java, Python, or other programming languages. This can be useful for tasks such as data cleansing, data aggregation, and data transformation. On the other hand, here are some specific examples of scenarios where Hive might be less appropriate: Real-time queries: Hive is a batch-oriented system, which means that it is designed to process large amounts of data in a batch mode rather than in real-time. While it is possible to use Hive for real-time queries, it may not be the most efficient choice for this type of workload. Complex queries: Hive is optimized for simple queries on large datasets, but may struggle with more complex queries or queries that require multiple joins or subqueries.Very large datasets: While Hive is designed to scale horizontally and can handle large amounts of data, it may not scale as well as some other tools for very large datasets or complex workloads.

Incentivized

• Roadmapping in terms of defining epics and planning them across a timeline and across teams.
• Showing dependencies within teams and across teams and over time horizon.
• Create transparency throughout the product organization and teams about what is planned.

• Simplicity, it offers a clean environment without risking the outcome. An example of this are the timesheets that allow a fast way to keep track of progress
• Interaction, the different options make it faster and easier to interact and collaborate in the development of a product. An example of this would be Hive Notes for meetings
• The different visualisations it offers allow to explore the best ways to affront your projects. I really like the Gantt mappings view to understand who can be contacted at each point

Incentivized

• I believe the training and support could be more hands on and easier.
• The Agile Hive - SAFe in Jira product can be a bit robust to understand.
• Having Knowledge transfer videos can help more than documentations.

Incentivized

• Organizing tasks by assignees could be better. It's a little cumbersome to check off each person you want. Can you group these?
• I don't really use any view besides task view. Is there something better I could be using?
• It would be nice if attachments showed up in a nicer format, maybe with a preview?

Incentivized

It has in general a good usability, but there are some downsides, the big picture view of the entire product increment is too static, so there is no zoom in or zoom out. Mostly throughout planning it is necessary to zoom in to a sprint level and manage the user stories there. Also, the pig picture view has some limitations, because you cannot read the entire user story name (boxes are too small).

Incentivized

Its a easy tool, the best way to organize the workflow but has room for more improvements.

Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.

Incentivized

With Jira Software alone it is also possible to plan a SAFe product increment planning, but it would be nearly impossible to see the overall big picture of all product teams involved in a release train. So, the planning on sprint level for one team would be more efficient, but the planning for a whole quarter with all dependencies across teams would be not feasible to present. Therefore, Agile SAFe enables value trains an efficient way to plan a product increment.

Incentivized

Hive is a bit different than Jira and Monday, which I used mostly. Overall does a great job managing project and helps with team communication. Removes dependency of asking team members for updates by going to conference rooms. With Hive, the team updates the status, and we can easily track it.

Incentivized

• More transparency.
• Better product decisions.
• Saving time and resources.
• Less critical dependencies.

• Workflow Management will help you better move your projects along which saves time and money.
• Time tracking will allow you to better manage the hours and keep your contractors accountable.
• Overall visibility of projects allow you to keep your margins down and combat "bleeding" and hidden costs or surprises.

Incentivized