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PARCELEX · FINTECH · B2B2C · 2022

Simplifying how credit denials are communicated

18 min readDownload the complete case study as a PDF.

How analyzing support tickets guided the classification of credit denials, the rewriting of product messages and the structuring of self-service at Parcelex.

in ticket time in the pipeline

−15.6%

in ticket time in the pipeline

views of the “Credit not approved” article during the report period

3,302

views of the “Credit not approved” article during the report period

average time per article view

3.8 min

average time per article view

CSAT across broader Customer Experience initiatives

+12%

CSAT across broader Customer Experience initiatives

Context

When a credit denial raises more questions than answers

At Parcelex, a Buy Now, Pay Later (BNPL) fintech, a credit denial was one of the most sensitive moments in the application journey.

Many people didn’t understand why their request had been declined or which alternatives were available. This lack of clarity led to frustration, complaints and repeated contacts with support.

Analyzing support tickets and service ratings revealed a pattern: questions were the main reason for contact, and credit led the subcategories, with 81% more tickets than the second most frequent topic, Documents. The topic also concentrated negative satisfaction ratings.

The diagnosis showed that part of the problem lay in how decisions were communicated. Generic or unhelpful messages made the outcome harder to understand and increased the need for clarification.

The challenge was to make these communications clearer, simpler and more useful, without exposing internal credit assessment criteria or creating expectations the product couldn’t guarantee.

What support conversations revealed
Three findings from the support diagnosis Three findings from the support diagnosis. Questions: The main support category. Credit: The most recurring topic among the subcategories. Dissatisfaction: A significant presence of negative ratings related to credit. Questions The main support category. Credit The most recurring topic among thesubcategories. Dissatisfaction A significant presence of negativeratings related to credit.
Three findings from the support diagnosis Three findings from the support diagnosis. Questions: The main support category. Credit: The most recurring topic among the subcategories. Dissatisfaction: A significant presence of negative ratings related to credit. Questions The main support category. Credit The most recurring topic among thesubcategories. Dissatisfaction A significant presence of negativeratings related to credit.

The approach

Turning recurring questions into content decisions

Based on complaints, tickets and questions received by support, we identified the points in the journey where product communication needed to improve.

I led the Content Design workstream of the initiative, driving the classification of situations, the review of messages and the structuring of self-service content. In addition to guiding editorial decisions, I was directly involved in delivering part of the work, in collaboration with the Customer Experience, Support and Product Design teams.

The work was organized into three complementary workstreams: classifying situations, rewriting messages and creating self-service content.

Classifying and structuring information

Before rewriting the messages, we organized the different reasons for credit denials and assessed how each situation should be communicated to people.

More than 20 non-approval reasons were grouped into six categories, establishing a more consistent logic for the messages without necessarily repeating the same explanation for different situations.

The classification considered the nature of each situation, the information that could be shared and the guidance available.

The goal was to turn complex information into understandable messages, without exposing the internal logic of credit decisions.

Building on this structure, we made editorial decisions about the clarity of the outcome, the accuracy of explanations and guidance on next steps.

From classification to communication
Diagram: from classification to communication Three situations and their communication decisions. Pending contract requirement: Explain what is still open. Credit not approved: Communicate the result clearly. Technical failure (not a credit denial): Distinguish a technical error from a credit denial. Conceptual and non-exhaustive reconstruction. Pending contract requirement Explain what is still open. Credit not approved Communicate the result clearly. Technical failure Not a credit denial Distinguish a technical error froma credit denial. Conceptual and non-exhaustive reconstruction.
Diagram: from classification to communication Three situations and their communication decisions. Pending contract requirement: Explain what is still open. Credit not approved: Communicate the result clearly. Technical failure (not a credit denial): Distinguish a technical error from a credit denial. Conceptual and non-exhaustive reconstruction. Pending contractrequirement Explain what is still open. Credit not approved Communicate the result clearly. Technical failure Not a credit denial Distinguish a technical errorfrom a credit denial. Conceptual and non-exhaustivereconstruction.

The visualization doesn’t reproduce the operational taxonomy or credit criteria.

Rewriting product messages

With the situations organized, we reviewed the titles, explanations and guidance shown throughout the application journey.

The work aimed to reduce ambiguity, replace generic expressions with contextual information and keep the different states of the experience consistent.

One key decision was to distinguish technical failures from credit denials. A generic message like “Oops! Something went wrong” could lead people to read a temporary instability as a rejection.

In the revision proposal, we made the technical nature of the problem explicit, clarified that the pre-approved credit was still available in that scenario and offered a way to ask for help.

The decision sought to bring more clarity, trust and predictability to the experience, especially at a moment of uncertainty for the person.

Credit denial message review: previous text, draft with annotations and reasoning Two real Parcelex checkout screens, in Portuguese, with the partner store name hidden. On the left, the previous text: “We couldn’t release your credit at this time”, explaining the analysis and the wait before trying again. On the right, a draft under review, with highlights: “Credit not available at this time”, “We don’t have credit available for your profile yet”, “But… what do I do now?” and two paths: choose another payment method, or wait for the period to pass and try again on our website. Three numbered points explain the reasoning: 1, individual analysis without blaming the person; 2, credit availability may change over time, with the time frame stated to give predictability; 3, a clear next step. Work in progress: process material, not the final deliverable. Work in progress Process material, not the final deliverable. Previous text Draft under review Review reasoning Individual analysis, without blamingthe person Reinforce that the analysis is about theprofile, but shift the weight of “blame” toa limitation on our side: “we don’t have ityet”. Credit availability may change overtime Stating the time frame gives predictability,a resource that reduces stress and anxiety. Clear next step Send the person to our website for a newanalysis in the future. Real checkout screens (original in Portuguese) and notes from the review process.
Credit denial message review: previous text, draft with annotations and reasoning Two real Parcelex checkout screens, in Portuguese, with the partner store name hidden. On the left, the previous text: “We couldn’t release your credit at this time”, explaining the analysis and the wait before trying again. On the right, a draft under review, with highlights: “Credit not available at this time”, “We don’t have credit available for your profile yet”, “But… what do I do now?” and two paths: choose another payment method, or wait for the period to pass and try again on our website. Three numbered points explain the reasoning: 1, individual analysis without blaming the person; 2, credit availability may change over time, with the time frame stated to give predictability; 3, a clear next step. Work in progress: process material, not the final deliverable. Work in progress Process material, not the finaldeliverable. Previous text Draft under review Review reasoning Individual analysis, withoutblaming the person Reinforce that the analysis is aboutthe profile, but shift the weight of“blame” to a limitation on our side:“we don’t have it yet”. Credit availability may changeover time Stating the time frame givespredictability, a resource thatreduces stress and anxiety. Clear next step Send the person to our website fora new analysis in the future. Real checkout screens (original inPortuguese) and notes from the reviewprocess.
When a technical error looks like a credit denial
Comparison: previous text and revision proposal for a technical failure Previous text: title «Try again later»; body «Oops! Something went wrong. Please try again later.» Revision proposal: title «We’re experiencing technical issues»; body «Your pre-approved credit is still available. Please try again later.»; link «I need help». Summary: Explain the technical failure without raising doubts about credit approval. Previous text Try again later Oops! Something went wrong. Please try again later. Revision proposal We’re experiencing technical issues Your pre-approved credit is still available.Please try again later. I need help Explain the technical failure without raising doubts about credit approval.
Comparison: previous text and revision proposal for a technical failure Previous text: title «Try again later»; body «Oops! Something went wrong. Please try again later.» Revision proposal: title «We’re experiencing technical issues»; body «Your pre-approved credit is still available. Please try again later.»; link «I need help». Summary: Explain the technical failure without raising doubts about credit approval. Previous text Try again later Oops! Something went wrong.Please try again later. Revision proposal We’re experiencingtechnical issues Your pre-approved credit is stillavailable. Please try again later. I need help Explain the technical failurewithout raising doubts aboutcredit approval.

The comparison shows a previous text and a Content Design revision proposal, editorially refined for public presentation. There is no documented confirmation that this version was implemented.

Creating self-service content

Alongside the message improvements, we created and organized Help Center content based on the most frequent questions received by support.

Topics included credit not approved and credit assessment, as well as guidance for recurring situations in the journey.

The goal was to provide clear, accessible answers so people could find information without relying solely on contacting support.

Bringing product messages and help content closer together contributed to a more consistent experience across the interface, self-service and support.

Montage of real screenshots of the Parcelex Help Center and the most-viewed articles report Montage of two real screenshots, in Portuguese: the home page of the Parcelex Help Center in the foreground and, overlapping at the bottom right, the most-viewed articles report, with the article “Crédito não aprovado” in the first row. Original interfaces are in Portuguese.
Montage of real screenshots of the Parcelex Help Center and the most-viewed articles report Montage of two real screenshots, in Portuguese: the home page of the Parcelex Help Center in the foreground and, overlapping at the bottom right, the most-viewed articles report, with the article “Crédito não aprovado” in the first row. Original interfaces are in Portuguese.

Results

Better access to information and more efficient support

The communication review and the creation of self-service content were part of a broader set of initiatives to improve the customer experience and Customer Experience operations at Parcelex.

The “Credit not approved” article became the most viewed in the Help Center, with 3,302 views during the report period and an average of 3.8 minutes per view.

Alongside the communication and support improvements, we recorded a 15.6% reduction in ticket time in the pipeline, indicating greater operational efficiency.

The broader Customer Experience initiatives also recorded a 12% increase in customer satisfaction (CSAT).

These indicators reinforce the value of connecting problems identified in support to communication decisions and to the availability of help content.

Learning

The project showed how support records can reveal comprehension difficulties that aren’t always visible directly in the interface.

By connecting the classification of situations, the rewriting of messages and the creation of self-service content, it was possible to address the problem more comprehensively.

Content Design went beyond reviewing copy: it helped turn recurring questions into clearer, more consistent communication decisions focused on people’s needs, with positive impact on customer experience and business efficiency.

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