VoiceOps is the AI coaching & training platform. Our platform offers one place to get visibility into sales calls and to provide coaching to reps. Our customers plug into VoiceOps and immediately have a world-class coaching infrastructure at their fingertips.
This is a fascinating concept. In college I worked in a call center doing customer support and outbound sales (yes, I was one of those annoying guys). Management tracked our sales, call times, etc. and occasionally listened in on the call to evaluate how well we were doing. We had feedback to improve but it was infrequent and often not very actionable.
VoiceOps is brilliant if it works. There's so much money and time being spent on (what you might perceive as old school) telemarketing and phone support. Improving peoples' performance by even 5% would have a major impact.
@dariaevdo: How do you evaluate what works and ensure you're providing the right feedback to salespeople? Seems like a hard challenge considering sales isn't about the words you say, but often how you say them.
Not a disclaimer: I know this sounds like I'm an investor but I have no stake in VoiceOps. I genuinely find it fascinating. 😊
@rrhoover Thanks Ryan! Our customers typically have short sales cycles, so the feedback loop for understanding how to properly adjust call behavior is pretty immediate. We're looking at a team's highest and lowest performers (and team averages) across a variety of core skills to understand what is most successful for that company.
If your highest performer is asking 7 probing questions on a call and focuses on describing benefits instead of features, that's helpful information that we can share with managers and other sales reps.
And you're right, sometimes it isn't about what you say, or even how, but when. We help show why the timing of a specific statement or question (like an upsell or close attempt) can change its effectiveness.
@rrhoover agreed, this is super interesting! Really hoping VoiceOps has a OkCupid style blog, I'd be curious to hear how high level features (i.e. Salesperson gender, accent, etc) affect sales in various industries🤓 (in addition to pitch-related insights)
@dariaevdo that's awesome, hmu when you have that 🙌🏽
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Congrats on the launch! This is an amazing product! There's so much money spent in sales optimization over email, and nothing in calls... And alls are way more effective for sales!
What has been the biggest challenge while working on this?
Best of luck and keep up the good work!
@pamevls Great question! The biggest challenge is making sure we're analyzing call content in a way that's actionable. There are a handful of other companies attempting to analyze calls, but very few are providing data that's clearly coachable and designed to help show longitudinal performance trends.
The other thing we have to keep in mind is that Sales teams operate differently from one company to the next, so the output has to remain flexible while also holding true to a core set of beliefs for what makes a sales team successful.
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@Daria Regarding the machine learning mechanisms and behavior, can/are you accounting for biases such as gender bias? Meaning what phrasing and/or words work with different demographics. Interesting from even a sales perspective for companies to appeal across demographics
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@dawn_quaker hey Dawn, I'm afraid you got the wrong Daria here :)
@eriktorenberg Hi Erik, and thank you! It's an exciting day here :)
1. 80-90% less time spent by managers preparing for coaching or performance feedback
2. Improved buy-in from reps because there's transparent data into behavior and call trends
3. Increase in successful close attempts => increase in closed sales
Nice product, congrats to the VoiceOps team. What sort of sales teams do you think could benefit most from VoiceOps? (EDIT: disclaimer I know the VoiceOps team and kind of knew the answer to this already, posted the question as thought would be a useful a public answer.)
@jacobtref Thanks Jacob! The teams that we're seeing benefit the most are ones that have a high velocity sales cycle. Our data allows for a very tight feedback loop, so companies with inside sales teams that typically close in a single call are able to see adjustments and improvements to their call performance much faster.
@leejacobs Thank you Lee!
Copying what I shared with Erik here:
1. 80-90% less time spent by managers preparing for coaching or performance feedback
2. Improved buy-in from reps because there's transparent data into behavior and call trends
3. Increase in successful close attempts => increase in closed sales
And check out some more customer stories on our website! https://voiceops.com/customers.html
VoiceOps looks awesome! There have been a few related tools come up, but nothing as integrated and actionable for the purpose of selling.
@dariaevdo do you think startup teams just getting started with sales could use this to help from the early days? (yep—that's our current situation 😉)
@kunalslab Thanks Kunal! VoiceOps helps teams understand and scale the most successful call behaviors to their entire team, so to that end, it's something almost any transactional sales team should benefit from using. We've found that teams with larger sales teams get the most benefit in terms of time saved, but one of our favorite (and most vocally supportive) customers is a small company with a team of less than 20.
@dariaevdo Makes sense. I love this as it relates to creating a sales playbook. Mark Cranney describes it really well, especially in his a16z blog posts.
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