Brassring, formerly from IBM and part of the Kenexa Talent Acquisition Suite, and now sold by Infinite Computer Solutions, is an enterprise grade ATS and onboarding solution. It allows companies to find the right talent, track and manage candidates, and use candidate data to spot trends within the applicant pool.
Predictive Pipeline kept track of every change in the sales pipeline and predicts quota attainment boasting 80% accuracy, with Neuralytics, the XANT predictive engine. The product was based on C9 Predictive Sales, owned and supported by XANT (formerly InsideSales.com) since May 2015, and no longer available for sale.
Kenexa is is well suited for any organization that has more than 3000 employees globally. I would not recommend this to startups or a growing organization with less than 3000 employees. But once you cross this number, Kenexa becomes useful and is a brilliant tool for global operations - recruiting. I would recommend this tool to any organization that has offices in many countries/geographies as well.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
C9 is a good and economical solution for what it does. If evaluating them today, I would want to clearly understand their product roadmap and their ability to execute against it.
Kenexa allows Boolean key word search within a particular requisition so it makes sifting through a high number of applicants manageable and effective
Kenexa can be tailored to meet individual business needs. During the time we’ve had Kenexa here I’ve used it in support of a few different business segments and for each the way the system was used to “position” candidate statuses have varied based on the individual need of the business. One example is when interviewing a high volume of applicants internationally, we were able to send qualified applicants through to the “event manager” and it would enable the candidate to select his/her interview date/time based on previously submitted options inputted by our Kenexa users.
Kenexa allows one to customize and score questions for each open requisition that applicants complete as they apply. The system then sorts applicants according to the score of candidate answers allowing for easy sorting of top qualified candidates.
It gives you the ability to see where your pipeline was in the past and compare to how it is now. You can set queries that will allow you to show at risk deals, committed deals, etc.
This gives much better visibility for management to coach.
BrassRing's application system for candidates is prone to freezing and crashing in the middle of the application causing potential candidates to lose all progress. I filled out the application myself and witnessed these issues first hand, on top of several complaints I received via phone and email from candidates attempting to apply via the BrassRing service. Also, the Parsing system within the application is not capable of pulling any meaningful information out of text documents.
Each user must be added to each job in order for that job, and the candidates in it, to show up in relevant searches. This becomes a problem when a new team member joins the account and needs access to all of the previous openings just so that they can find candidates already in the system. The account I was working on involved literally hundreds of new openings a month, meaning that any movement of personnel on or off the account would mean having to update potentially thousands of old positions just to allow them to be able to mine the ATS for candidates. I don't see any particular reason why someone with access to the system should have to be given access to each individual job. If a particular position needs to be kept confidential for whatever reason then that individual position should be able to be set to only show to authorized recruiters. The rest of the positions should automatically be searchable by anyone with appropriate access to the ATS to allow for basic level candidate mining and movement.
We had uptime issues, weird error messages, sluggish performance, and bad data. I hope that some of this can be attributed to growing pains as the company was relatively new when we signed our initial contract.
It was not dependable enough to trust the data and to count on accessing the app when we needed it.
It actually was unavailable at EOQ one time.
I also did not care for the lack of real-time pipeline information. If someone was doing a pipeline review, there was no instant gratification i.e. to see changes in pipeline occur as an AE made a change to an opportunity.
You couldn’t do any configuration at all. Even if you just wanted to change a field or add a filter, you had to go through their services team. It was a recognized challenge and I saw roadmap addressing it.
The query tool is a little hard to use and we have found that queries are very slow and lock up.
I am confident that the Kenexa product will continue to evolve to meet the needs of our business in an ever changing work environment. The affiliation with IBM also plays a factor as we have a long standing successful relationship with IBM products. We will be looking to integrate other Kenexa products in the near future to streamline our HR processes.
C9 is now part of the sales management culture here at IPC. There is no longer any guesswork about the funnel or the forecast. C9 does something that SFDC does not...it increases significantly the value of the information in SFDC by unlocking the meta data that we all need to run the business
I feel like I am pretty decent with computers and systems. It was fairly easy to use it after about a week or two . But I have seen people struggle with it as well as some people not use it at all. It can be slow at times and not work at times. But Its a fine system.
From a sales manager’s perspective it was fairly easy to use the base functionality (just viewing current pipeline) and much harder to look at analytics (pipeline changes over time). C9 made this easier by allowing sales ops to publish views to sales managers. The query tool was harder to use than it had to be. For example, there were no out of the box relationships set up between Salesforce.com tables (e.g. accounts to opportunities), so I had to create those relationships myself.
It is a very basic system. It may be OK for entry level positions only. The practice of removing CVs while the recruitment process is ON is disturbing and there is no one to explain or to inform why it is being done. Even a routine mail is not sent to the client/consultant. I am surprised how this system is continuing without too many complaints.
C9 cares about their customers and responds quickly. However, the ticketing system could be better and there is no easy way to track the status of your requests.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Very simple implementation. They basically set up the imports and then they configure the tool per customer requests.
I wish there had been more consultation during the implementation, but it wasn’t bad given the effort expended. We ended up re-implementing after about a year and a half.
SF ATS was not available at the time and Taleo was thought to be too expensive. In retrospect, given the amount of customization and leveraging of other vendor technology for things like analytics I suspect any cost advantage we realized evaporated
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Zoho CRM is less up to speed and much more out of date. The support at InsideSales.com Predictive Pipeline have been very helpful during the initial roll out face. Overall I was very happy!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The product provides a single source for pipeline and forecast data and has scaled well with our organization. We have grown from 10 sales reps to 100 reps and we really needed a tool to to manage data and do roll-ups etc.
It's also important to provide senior management visibility into the pipeline, and the tool works well for this.
