{"id":338183,"date":"2017-04-13T00:00:13","date_gmt":"2017-04-12T16:00:13","guid":{"rendered":"http:\/\/techcrunch.com\/?p=1475907"},"modified":"2017-04-13T00:00:13","modified_gmt":"2017-04-12T16:00:13","slug":"voiceops-launches-to-put-insights-in-the-hands-of-managers-coaching-sales-reps","status":"publish","type":"post","link":"https:\/\/people.utm.my\/asmawisham\/voiceops-launches-to-put-insights-in-the-hands-of-managers-coaching-sales-reps\/","title":{"rendered":"VoiceOps launches to put insights in the hands of managers coaching sales reps"},"content":{"rendered":"

<\/p>\n

The enterprise voice space grows hotter today as VoiceOps<\/a> announces its seed round with participation from Accel<\/a>, Founders Fund<\/a> and Lowercase Capital<\/a>. The YC-backed startup aims to support sales teams by offering managers clear insights into what tactics are being used\u00a0on the front lines.<\/p>\n

Founders, Daria\u00a0Evdokimova, Ethan Barhydt and Nate Becker designed a machine learning-powered system that monitors calls made by enterprise sales teams. Using their own metrics for success, managers can then compare the performance of their sales reps on a\u00a0dashboard. VoiceOps can surface the use of specific sales tactics like\u00a0upsell attempts and time spent explaining the benefits of a given product or service.<\/p>\n

\"\"<\/p>\n

Daria Evdokimova, CEO of VoiceOps<\/p>\n<\/div>\n

Evdokimova, CEO of VoiceOps,\u00a0explained to me that\u00a0many\u00a0large sales teams, that operate transactionally, still have manual quality assurance teams listening to and flagging sales calls. It\u2019s tough for managers, playing the role of blindfolded coaches, to provide actionable feedback to reps on the ground.\u00a0This was the case with Weebly, one of the startup\u2019s early customers.<\/p>\n

\u201cWeebly used to have a QA team that would just listen to calls 24\/7 and manually fill out score cards,\u201d\u00a0Evdokimova said.<\/p>\n

That kind of inefficiency is easily automatable with today\u2019s automatic speech recognition and natural language processing. Enterprise tools like\u00a0VoiceOps hold an advantage over assistants like Siri and Alexa because they\u2019re designed for singular use cases. The creators of VoiceOps spent extra time\u00a0fine tuning to increase accuracy for things like recognizing the sales vocabulary.<\/p>\n

\"\"<\/p>\n

VoiceOps differentiates itself within the already crowded enterprise voice space by targeting\u00a0PMs rather than individual sales users.\u00a0Tools like Chorus.ai<\/a> are designed to support individual members of a sales team. Chorus is optimized for\u00a0transcribing calls, much like VoiceOps, but its sweet spot is flagging action items and sharing best practices. In contrast, VoiceOps helps managers understand exactly what\u2019s happening on their team\u2019s sales calls. The platform is a good checks and balances system to augment coaching.<\/p>\n

An SEC Form D<\/a> filed by VoiceOps\u00a0in December 2016 under its old name, Clover Intelligence, indicates that it was in the process of raising a $2 million round, of which it had secured $1.975 million. The startup opted not to disclose\u00a0its total fundraising so it\u2019s\u00a0not immediately clear what transpired in the months since.<\/p>\n

Evdokimova says that VoiceOps intends to scale its own internal sales team over the next few months and that the company is prioritizing deployment.<\/p>\n","protected":false},"excerpt":{"rendered":"

\"\" The enterprise voice space grows hotter today as VoiceOps announces its seed round with participation from Accel, Founders Fund and Lowercase Capital. The YC-backed startup aims to support sales teams by offering managers clear insights into what tactics are being used\u00a0on the front lines. Founders, Daria\u00a0Evdokimova, Ethan Barhydt and Nate Becker designed a machine learning-powered system… Read More<\/a><\/p>\n

\n<\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a>\n<\/div>\n

\"\"\/ <\/p>\n","protected":false},"author":5817,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[25],"tags":[59,66,26],"class_list":["post-338183","post","type-post","status-publish","format-standard","hentry","category-technology","tag-media","tag-techcrunch","tag-technology"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/338183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/users\/5817"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/comments?post=338183"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/338183\/revisions"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/media?parent=338183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/categories?post=338183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/tags?post=338183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}