How to collect event-based feedback with Feedier?

How to collect event-based feedback with Feedier?

Learn from comments at the most relevant times. Build a more seamless user experience by being proactive and continuously collecting feedback.

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Feedback shouldn’t be a reactive process

Feedback shouldn’t be a reactive process

After problems, complaints, or conflicts have arisen among users, it is possible to get insight by listening to their accounts. Users are already unhappy with the product and are taking action to express their discontent. This may sound familiar because it is still the standard method of gathering customer feedback, but the problem is that you only pick up on the negative sentiments by that point.

Feedback at the appropriate moment Feedier

Obtain feedback
at the appropriate moment

Obtain feedback
at the appropriate moment

Successful businesses capture crucial data at pivotal moments, like customer onboarding, product purchase, contract signing, contract renewal, etc. These interactions are the ones that will be remembered, shared, or criticized in the long run. Gathering user feedback at these junctures provides the intelligence necessary to make fast, data-driven adjustments to the user’s experience.

Customers engage with your company over the course of a multi-stage process. This path and the number of touchpoints with the end-customer need to be made more or less intricate according to the needs of your organization. However, these points of contact never go away. It doesn’t matter if the recipient is a consumer, app user, worker, or collaborator. These points of contact present an excellent chance to get input and stay ahead of the game.

Deploy your cloud services
to their full potential

Deploy your cloud services to their full potential

Offer a twofold chance for your team to gain deeper insights from customer feedback and enhance the quality of service provided with your cloud solutions. Cloud platforms make it now possible to automate the feedback request process and do away with the time-consuming human labor formerly required. The boring annual satisfaction surveys will be transformed into actionable pulses of feedback in real-time. The operational data found in these cloud platforms, when synchronized with experience data, can greatly enhance the value of the feedback you receive.

Cloud solutions have become increasingly popular in the previous decade as businesses have moved to centralize data management across several points of contact (CRM, ERP, HR planning, front-end applications, etc.). They provide a wealth of data storage for your company, but this information isn’t always linked to customer feedback.

87%
Of the most used business cloud software have opened APIs to facilitate integrations

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Achieve moving results and combine operational data with experience data

Achieve moving results and combine operational data with experience data

Combine information from operational systems (CRM and Helpdesk) and not only start collecting the NPS score in real-time, but also make use of the feedback received on a much more granular, departmental, and strategic scale. A good NPS wouldn’t mean much without the full picture (customer history, last point of contact, geography, branch name, etc.).

Centralize all your data in one place, link it using Feedier and its intelligent correlation software to make predictions about NPS based on factors like branch, customer history, geography, and more. Take the Net Promoter Score (NPS) and expand it into a multidimensional report to identify experience concerns and draw connections to business outcomes. Let your team have all the needed information to identify and isolate the source of the problem before the customer even notices it.

Generate user flow Feedier

Generate and depict user flows

Generate
and depict user flows

Map out the full end-user experience and turn event-based feedback collecting into a strategic advantage for your business. Organize responses into categories according to operational parameters (such geography, user type, and past interactions) and then make informed decisions. After that, craft the final user’s experience with surgical precision. Your user cohorts’ operating flows will be revealed, as will opportunities for improvement.

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