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We've done some customizations on top of it, but it really focuses on leader management at the executive level – things like succession planning and leader development.

We haven't used it from a talent acquisition standpoint. It's really just been for talent management.  We primarily use their succession planning features. The AI component recommends potential successors for roles we're trying to fill or plan for.

We're just launching it. We have two clients using it. Our company, Heidrick & Struggles, partners with Eightfold.ai, and we use a lot of our own IP, such as digital spend, capabilities, competencies, and culture assessment information. A lot of what we do is gather that assessment data and make recommendations based on that, in addition to Eightfold.ai's insights. It's a combination of the two that really helps us accurately identify the best fit for executive leadership roles. 

It's purely data-driven, so we try to take human bias out of the process. That's really the sweet spot for this solution – the partnership between Heidrick's components and Eightfold's components. 

The AI recommends potential leaders, so you don't have to do a ton of thinking. You still want some human interaction, but from a pure recommendation standpoint, it reduces the bias you'd get if you did not use data points for these decisions.

I really like the AI piece. It helps you find the right folks for your succession plan. I think that's where Eightfold.ai has an edge over other competitors.

From my perspective, I think the usability could use some attention. Eightfold.ai offers modules for talent acquisition, talent management, and other areas like projects. They try to use a common UI for all of them, but it really needs to be more persona-based. That's the thing that I struggle with the most.

We've been using it for about two years.

Stability is fantastic. In the two years we've used it, I've only experienced one outage.

I would rate the stability a ten out of ten.

I would rate the scalability a five out of ten, one being easy to scale and ten being difficult to scale. There are a lot of manual components at this point. Since you have to ingest a large amount of leader data, that process is currently very manual with file feeds.

The customer service and support are horrible. They could improve in terms of friendliness and responsiveness. 

Negative

This was a solution we sought to build. We did research to determine the best partner, and through that process, we selected Eightfold.ai. So we didn't have a pre-existing solution in this area.

The initial setup is very complex. I would rate my experience with the initial setup a three out of ten, with one being highly complex and ten being easy to set up. 

The deployment took about seven or eight months. 

We use Amazon Web Services and Azure DevOps for deployment, so there's a lot of technical folks involved. So, there were probably ten people total involved in the deployment.

Maintenance is mainly required for onboarding new users and handling feature progression. As Eightfold.ai releases new features, our DevOps team and our managed services teams work with clients to implement them. 

Eightfold.ai hosts their side of things, so we don't have to worry about that piece. However, there's some additional complexity for us because we also integrate other applications within the Heidrick suite.

But just focusing on the Eightfold.ai perspective, there's not a lot of maintenance other than managing feature releases and moving those through our staging, UAT, and then enterprise environments.

Eightfold.ai contributed to reducing the hiring costs or improving employee retention for our clients. 

It helps reduce that cost from both an overhead and employee headcount perspective. For the client, it reduces overhead costs because they're not managing spreadsheets. The system takes care of all that.

The pricing is expensive. I would rate the pricing a seven out of ten, with one being cheap and ten being expensive. 

I would recommend it to others. The AI piece is really what drove our decision to select Eightfold.ai. It truly fulfills the need when combined with our own intellectual property and the data points we gather. From that perspective, it serves the purpose well.

Eightfold.ai's data is robust, and as time goes on, the system learns and improves our recommendations. So, it's more about the learning aspect and being able to accurately pinpoint leaders with the right skill sets.

Overall, I would rate the solution a seven out of ten. 

I was in charge of HR operations at the time; I did operational things like approving documents, issuing them in the system, and also trying to recruit nicely. 

Sometimes, I also handle some pre-onboarding tasks, like collecting data or documents and approving parts of the onboarding process.

It really helped our team. Especially for me, I could feel that my workload as an HR operation manager was cut by 50%.

Since the data was very organized in Workday, it was convenient for me to see specific employee datasets. The advanced analytics features have become better over time.

Workday's integration capabilities with other systems benefited our work. We combined Workday with LinkedIn Learning. It worked well for the learning management part.

I like its UI and UX. When we were using Oracle or SAP, the UI/UX wasn't very user-friendly for my employees. Workday has a much better interface. Users can directly see the menu, click on what they need, and know what to do. I think that really helps my job as an HR operation manager.

So it's very user-friendly. That aligns with its focus on UX.

Workday does not support many Korean language features. So, it will be great if they have some development on the Korean language side – then it will be really powerful in our market.

So there should be development in the Korean language features.

I used it when I participated in the implementation projects. So, I have been using it for two years. 

Stability was better than other systems I've used. I would rate Workday's stability an eight out of ten. 

It is a very scalable product. For my branch, there are around 20 end users. They are HR specialists. 

In Korea, we didn't have dedicated IT personnel for HRIS [Human Resources Information System]. Support resources were in the headquarters or through a shared service located in China.

There aren't many Korean language features. Korean market was not a significant focus for Workday. So, the support wasn't as strong as it could be.

There is room for improvement in customer service and support. 

In Korea, we have more complexities in labor law, so the system logic is very different from the US or European countries. Workday needs more Korean experts who understand the kinds of things that are needed, specifically in Korea. That would be helpful.

Neutral

Every system was really hard to set up initially, but I think Workday was okay because it had a really user-friendly UI and UX. When we were implementing the system, we could directly see what we were doing with each feature. So, it was better than others.

I would rate my experience with the initial setup an eight out of ten, with ten being easy and one being difficult. 

The deployment took one and a half years but that was just the first phase. We needed to keep upgrading the system. So, the first phase established a good foundation, and almost everything was in place. So,  it was one and a half years.

It's very, very expensive. When I was in a startup company, we tried to adopt Workday. We called them and asked how much it would cost for our company. And the first answer from the salesperson was, "It's really expensive."

If you have enough money for the digital transformation of your HR system, Workday is one of the best ways to go. You don't need to do as much customization during implementation as other systems.

Workday is experienced and mature product. It is probably the number one company for HRIS [Human Resource Information System] right now. The experience is really helpful for a company's first HR transformation. And also, most of Workday's features are not just okay, but more than good.

Overall, I would rate the solution an eight out of ten.