Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
$12
per month per user
Intercom
Score 8.6 out of 10
N/A
Intercom is an AI-first customer service platform that enhances the customer experience and improves operational efficiency, built on a single AI system with three major components: AI Agent, AI Copilot and AI Analyst (coming soon) to deliver customer service.
$39
per month per seat
Pricing
Hive
Intercom
Editions & Modules
No answers on this topic
Essential
$39
per month per seat
Advanced
$99
per month per seat
Expert
$139
per month per seat
The Early Stage program
From $65 for 5 support seats
per month
Proactive Support Plus add-on
from $99
per month
Offerings
Pricing Offerings
Hive
Intercom
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
AI customer service features included in every plan.
Intercom integrates Help desk, AI Chat bot, and Proactive support.
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.
Intercom is well suited for connecting internal personnel with external individuals and those externals to specific individuals or teams within the organization. Intercom also does a good job at allowing multiple resources to direct communication in the right direction, whether that be a transfer internally or directing initial communication requests to the appropriate resources. Intercom is not always the best-suited platform for reaching out to external individuals because of the inability to know the availability of who you are trying to reach.
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
In-app communication: I can deploy tours, banners, checklists, tooltips, posts, and surveys in a matter of minutes.
Knowledge Hub: I can write and publish a help article that can then be used to train the Fin AI agent to deliver accurate answers to our customers.
Communicating in context with service/sales agents and customers: the Help Desk makes it simple for sales and service agents to pull me into a conversation with a customer to resolve product-related issues.
We have been and will be continuing our journey with Intercom and nothing too concerning has happened that I have experienced or heard of that has us on the edge yet. If it ever happens it will be something along the lines of "Outgrowing" the use of need of the platform.
The transition from AI to human is seamless. This is from my experience of contacting Intercom for help and your use of Fin AI. We currently do not have the scale for Fin AI, but it is under consideration for the near future. Outside of Fin AI for our use case, bots and automation have made it easier to direct users to the correct knowledge materials and made the transition to human support seamless when needed.
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.
Intercom is the premier customer support/engagement model and it definitely has one of the top tier customer support teams as well. I don't think I have ever waited more than 5 minutes to get the information I need or get help with an issue. They are incredible and I aim to model our customer service department after them.
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.
The intercom is more intuitive and provides easier management and personalization of our conversations. It's been a while since I used Zendesk, so this might have changed, but Intercom provides a bigger catalog of functionality targeted to product marketing, such as emails, in-app banners, pop-ups, and, overall, outbound communications.
Faster customer onboarding: When we identified our biggest conversion factors, we were able to set up an onboarding sequence that helped people get started and converted faster.
Adoption: It's much easier to showcase a new software feature. We build out a post and a tour for any new software features and prompt it to show up the first time they log in, all through Intercom.
Money: It's saved us money in the long run considering how many softwares we would have needed to use in order to get the same features offered in Intercom.
