These are some Support use cases that you can solve with OmniPanel.
While the product team can do as much testing as possible before launch, there will inevitably be problems when customers get their hands on the product. Each support request or piece of feedback is like a puzzle piece in highlighting where your product may have deficiencies. But like any puzzle, you have to organize the pieces first. How many of the support requests had to do with defective packaging? How many were shipping issues? Doing so will let you see the overarching insights that your team can take action on.
A good CX agent is the most valuable asset in managing an unsatisfied customer. Prompt, empathetic, and effective responses to a customer's requests or complaints can make a customer more loyal than before, whereas a lousy response will guarantee that the customer churns. How can we determine which CX agents are top performers and who need more training or mentoring? The main metric is first agent response time, which tracks how quickly an agent responds to an escalation. It does NOT measure whether your agent was successful nor includes valuable contextual information to give you insights into how your agents perform. But what if we can create our own performance indicators?
While we consider returns a negative, they can offer valuable information for your business. Return data is one way to get accurate feedback on your product. Customers are incentivized to return a product that didn't meet their expectations, compared to a survey that a customer might breeze past or ignore. On the other hand, customers directly say "I'm not satisfied" when they return an item, therefore highlighting any weakness in your customer journey. Imagine you are a DTC glasses company. You're interested in seeing what products are returned and trying to find a commonality between returned items. However, the sheer volume of support tickets and refund requests is overwhelming. You ask yourself if there's a better way to do this.
As you scale up your sales, it can be more challenging for your team to uncover and respond to underlying customer problems. Fortunately for you, the data to point you in the right direction already exists within your tech stack. All you need to do is organize and consolidate it in one easy-to-interpret place. Let's say you are an E-Commerce clothing brand. You want to be able to track what products customers are returning and why.
Your goal for this quarter is to reduce severe delays for your customers. You think you can achieve this by developing a system to notify you and your team any time an order is in status processing for more than a week. Your team's process is to manually check the status of the orders with the order date. However, it quickly dawns on you how hard to do this at scale.
Imagine you're working at a rapidly growing D2C electronics company. A few customers reached out complaining that their items from a recent sale were damaged. You want to investigate to determine why so many users are having this problem. Ordinarily, you would sift through Shopify, your Returns software, and your Helpdesk to manually put the information in a spreadsheet. But now, you specify the proper parameters within Omnipanel to generate the report.
Imagine you are a DTC apparel company that recently launched a new line of jackets for the first time. You want to analyze important customer feedback about how they view your marketing campaigns, use of the product, sizing and fit, and the resulting repurchases. Ordinarily, you would have to copy and paste the customer comments and questions by hand into a spreadsheet. But with OmniPanel, you can directly pull the relevant pieces of information automatically to complete your report.
Imagine you're a D2C apparel company tasked with tracking cases where customers had sizing issues with particular products. Ordinarily, you might manually sift through your helpdesk, log case data onto a spreadsheet or submit a google form every time a specific case came in, and then add contextual data of that customer from the rest of your tech stack. But now, you can do this all with a click of a button on OmniPanel.
A batch of one of your newly introduced products was defective. You want to identify which customers were affected and directly reach out to them as part of your win-back strategy to keep their business. The problem was finding which customers were affected and how to contact them. An additional layer of difficulty was that the various ways customers responded to the issue differed. Some cases are located on your helpdesk, while some data are on your returns platform. There were even cases of customers complaining about the product online but never filling out a support request.
You see a spike in support tickets over the last month, and your CX team wants you to investigate further. Looking into the cases, you see that the majority of customers reached out because of lost packages.
Imagine you are a D2C clothing company. You noticed a spike in your overall return rate in the last month. While the CX team managed the escalations directly, you want to investigate the underlying reasons for this spike and see if there was an explanation for this rise of returns all of a sudden. You hope that understanding the causes here could prevent returns in the future.