[HN Gopher] Show HN: Assembled - Scale great customer support
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       Show HN: Assembled - Scale great customer support
        
       Author : johnjwang
       Score  : 98 points
       Date   : 2020-03-11 16:28 UTC (6 hours ago)
        
 (HTM) web link (www.assembled.com)
 (TXT) w3m dump (www.assembled.com)
        
       | michaelschade wrote:
       | This is fantastic. I started Stripe's support team, built out our
       | version of an internal tools team, and have since advised a bunch
       | of mid-range startups on how to scale operations. Every company
       | I've talked to is trying to figure out how to improve response
       | times, but really lacks visibility into when load is coming in --
       | and especially any visibility into when it _will_ come in.
       | 
       | The technical solution to modeling this out and providing more
       | advanced forecasting is super interesting, and the product itself
       | looks delightful to use (more than the spreadsheets our early
       | support team used to be buried in navigating, at least :)
        
         | johnjwang wrote:
         | Thanks for the kind words! We've definitely seen a ton of small
         | companies that started out with spreadsheets and internal
         | tools. That's why we wanted to mimic the ease of use of Google
         | Sheets while providing out-of-the box features that support
         | teams usually ask for, like forecasting.
        
       | arciini wrote:
       | This is really cool! I'm working with a customer support team and
       | getting the right amount of staffing was always a challenge. To
       | really reliably have good support with low wait times for 95% of
       | the time, you'd end up being overstaffed by quite a bit for >50%
       | of the time.
       | 
       | In addition, just communicating with everyone about shifts and
       | managing the people-side was also a challenge, and there never
       | felt to be super-specialized tools for this.
       | 
       | Accurate staffing seems like precisely the kind of problem that
       | good data and modeling could solve. Good communication is
       | something that good UI design could solve too. I'm excited to see
       | how this works!
        
         | johnjwang wrote:
         | These are definitely the kinds of problems we're trying to
         | solve. We've been working with our launch customers to get
         | their whole company to understand the tradeoffs involved in
         | customer support.
         | 
         | It's actually very hard to have both fast response times and
         | high occupancy (the percentage of your team's time actually
         | spent answering tickets). Often a company wants both, but it's
         | hard to convince people that you can't have both. We've helped
         | our early customers show this by actually planning different
         | scenarios out.
        
       | av64 wrote:
       | Congrats on the official announcement! Here's to your success!
        
       | mlm wrote:
       | This looks great, but it's also focused on people--what happens
       | when more and more support is done via AI?
        
         | codezero wrote:
         | For now, AI is working as a good deflection in front of the
         | workforce. I think that will continue and get a lot better over
         | time, but will likely still just be a combination of deflection
         | in the front, as well as enablement for agents by giving some
         | good summary resources that may make responding faster.
         | 
         | Neither of those removes the workforce at scale in my opinion.
         | 
         | Also, AI is real far away from replacing more advanced support
         | teams doing "tier 2" and "tier 3" support which require a lot
         | more work outside of the email/chat thread.
        
           | johnjwang wrote:
           | +1, very much agree with this. AI-driven chatbots are a piece
           | of the puzzle for many of our users -- they cover commonly
           | asked questions and can deflect a lot of questions. But it's
           | still just a portion of the work (even if a majority of
           | volume). For example, a lot of "hard" support questions
           | involve jumping between systems and following complicated
           | (often nonexistent) procedures, even aside from models that
           | understand intent.
           | 
           | Also to be fair to our team, we do have a bunch of problems
           | that we no longer think of as AI, but are still super
           | algorithm-intensive: forecasting, modeling of queues, and
           | schedule optimization.
        
       | mkx wrote:
       | Congrats on the launch! What's the minimum number of support
       | agents do companies need to have before you're a good fit for
       | them? Or how do you think about what a qualified customer looks
       | like?
        
         | johnjwang wrote:
         | Thanks, and that's a great question! We're targeting companies
         | with 10 or more support agents. More generally, we're best for
         | companies who are starting to see some amount of complexity in
         | their customer support. Some examples include: if you're
         | launching phone/chat/realtime support, if you have multiple
         | specializations in your support team, if you're extending hours
         | to the weekends.
         | 
         | Most smaller teams can get away with 9am-5pm weekday support
         | for quite a while. However, once you have enough volume where
         | you need to start staffing weekends or staffing earlier/later
         | in the day, it becomes a lot harder to manage your team and
         | that's where Assembled comes in.
        
       | johnjwang wrote:
       | Hi HN,
       | 
       | I'm John, one of the co-founders of Assembled. Our mission is to
       | transform and elevate customer support.
       | 
       | Today we're launching a product that solves workforce management
       | and helps support teams get staffing right. For the past two
       | years, we've been building it alongside some of the most
       | innovative support teams in the world like Slack, Stripe, and
       | Harry's.
       | 
       | Sam Altman's startup playbook says: "great startups always have
       | great customer service in the early days" [0], but he doesn't
       | talk about the later days. It turns out to be really hard to
       | scale great support with spreadsheets and internal tools. We've
       | built Assembled after talking to hundreds of different
       | organizations that have been trying to solve this problem.
       | 
       | Our product tackles three core operational challenges:
       | 
       | - Forecasting: We automatically forecast support volume and
       | translate it into the right staffing plan.
       | 
       | - Scheduling: We provide an intuitive team calendar that works
       | across time zones and/or multiple specializations.
       | 
       | - Unified metrics: We make support schedules and metrics, like
       | response times, visible across all levels.
       | 
       | Assembled is available today and you can request a demo here.
       | We'll be around all day answering questions, so feel free to
       | comment here or email me directly at john@assembled.com.
       | 
       | [0] https://playbook.samaltman.com/
        
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