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What Indirect Feedback Means In Customer Experience | Pisano Academy

Written by Mehmet Oğuz Özdil | Nov 24, 2025 6:48:12 AM

 

Overview

  • You will see how indirect feedback captures real moments customers share freely across review sites, complaint spaces and app stores, giving you clues that surveys often miss.
  • You will learn how bringing these comments together and reading them with AI supported text analytics helps you notice patterns, emotions and early signs of trouble long before they show up in score reports.
  • You will understand how these signals guide teams toward meaningful action, support closing the loop and shape long term reputation through small insights that appear across different channels.

Indirect feedback shows up in places we check almost without thinking. A review someone wrote while waiting for a bus. A long comment thread under an app update that we read half out of curiosity and half to see if we feel the same.

Sometimes a score drops and we keep staring at it, trying to guess what changed. Sometimes a single line explains more than a full survey.

Surveys still help of course, yet indirect feedback brings out honest moments that fill the gaps and let teams see the experience with clearer eyes.

Let’s explore how indirect feedback helps strengthen customer experience and online reputation.

What Indirect Feedback Means In Customer Experience

Indirect feedback feels like the comments people leave behind while going about their day. No one invites them to answer a specific question, yet they still share how something made them feel.

You can read ten reviews in a row and sense the mood shifting even without a score in front of you. It is the difference between someone choosing their words in a survey and someone speaking freely in their own style.

📘 Glossary
Indirect Feedback
Indirect feedback refers to comments and ratings that people share freely on public platforms without being asked. These open notes reveal honest reactions that help teams see what customers feel during real moments of use.

How Indirect Feedback Differs From Direct Input

Direct input follows a clear path. You ask a question, the customer answers and you know exactly which moment they are talking about.

Indirect feedback is more open. People talk about what stands out to them without waiting for a form. A short comment can carry emotion that a scale cannot reflect. Some describe a small frustration that never appears in a survey because the question never asked for it. These unguarded lines often reveal more than expected.

Why Companies Observe These Signals Closely

Influence of reviews
93%

of consumers say online reviews influence their shopping decisions. This shows how indirect feedback shapes trust even before a customer tries the service.

Source: Frontiers in Psychology

Anyone who works with customer experience has had that moment where a repeating complaint on a review site suddenly makes everything click.

These signals arrive early and without filters. They hint at what people expect, where they feel unsure or where something quietly works well. Taken together, they complete the picture so teams can understand what customers truly go through, not only what they answer when prompted.

How A Quick Everyday Moment Can Spark An Honest Review

You can easily find yourself in a situation where a tiny detail pushes you to speak up.

☕ Imagine making a quick cup before work with a new coffee machine.
🔥 You touch the side of it and feel a sharp burn because the surface heats more than expected.
✍️ That rush of frustration can send you straight to a review site with a fresh comment written faster than you realise.
📩 Then a survey arrives days later and you have already forgotten your burn so you skip the part that would have explained the issue.

This gap shows how honest and immediate indirect feedback can be.

Main Sources Of Indirect Feedback

These channels feel familiar to anyone who works in CX. You open them for a quick check and suddenly you are reading far more than planned. Sometimes you catch yourself thinking oh that explains yesterday’s score drop. Other times a tiny comment answers a question you have been trying to understand for days. Each place has its own texture and you can sense the mood the moment you start scrolling.

Review Platforms

Review pages feel like a hallway where people talk freely without holding back. You see short lines like “Good service, thanks” right next to long stories that read like someone finally had time to share everything on their mind. You catch yourself nodding when someone writes I got stuck on the last step and had no idea why. We have all seen comments like that and felt the puzzle pieces sliding into place.

This is where patterns quietly appear. A few customers mention the same confusing step. Others praise something that seemed minor to the team. These echoes help us read the room without needing a prompt.

Complaint Platforms

Complaint sites carry a heavier kind of honesty. People explain the whole journey because they want someone to truly hear what happened. You read lines like I tried three times to fix this and each reply told me something different. You can almost feel the moment their patience slipped.

When similar stories show up close to each other, it makes you pause. You start thinking about the touchpoint behind it and why it keeps showing up. These places make friction visible in a way no chart ever could.

Application Stores

App stores reveal the part of the experience that lives in someone’s routine. You see comments like “App froze again during login this morning” or Loved the latest update, everything loads quicker now. These notes feel honest because they come straight from daily use, not from a planned interaction.

A sudden drop in the rating can make the whole team uneasy until you read a few lines and think oh, that is it. These comments help everyone see how each change lands on a regular day.

Community Forums And Q&A Environments

Forums feel like group conversations where people help each other through small puzzles. Someone posts “Where do I find my past orders?” and three others reply with slightly different paths. You notice the same question appearing again a few days later. That familiar feeling of here we go again tells you there is a clarity issue somewhere.

These places surface small moments of uncertainty that surveys would never catch because no one thinks to ask about them directly.

Social Channels

Social platforms bring quick reactions that show how someone felt right in the moment. A short post saying “Tried again and finally got through” or Still waiting for help gives a sense of mood without needing many words. These small remarks help fill in the emotional tone around the experience.

One Issue Seen In Many Places

A customer tries to confirm an order but the final screen keeps loading. They try again a few times, feel unsure, close the page and move on. What they say next appears in different places and at different moments.

Channel Timeline What They Say
📱 Application Store Same day “App froze again on the last step. Tried this morning and at lunch. Hoping an update fixes it soon.”
💬 Forum Same day “Anyone else stuck on the confirmation screen today. Mine keeps loading forever.”
📝 Complaint Platform One day later “Order would not confirm yesterday. Tried support and got two different replies. Still unsure if it went through.”
⭐ Review Platform Two days later “Service is usually fine but the final step confused me this time. I had to retry a few times and still felt unsure.”
📨 Survey Email One month later “I already deleted the app for some reason I forgot.” (A reply that carries almost none of the earlier detail)

 

Link Between Indirect Feedback And Online Reputation Management

Effect of having reviews
270%

higher purchase likelihood for products with at least five reviews compared to those with none. This highlights how public feedback drives conversion outcomes.

Source: Spiegel Research Center

Reputation grows quietly through all the small moments scattered across the internet. You read a few reviews before a call, glance at a complaint thread after a long day and suddenly you start wondering how do I track my brand’s online reputation or what shapes trust before customers even speak to us. Indirect feedback becomes the place where many of these answers start to form.

How Indirect Signals Affect Perception

Indirect channels influence reputation in ways that feel subtle yet steady. You read a line like “Support helped me right away” and it brings a sense of confidence. Right below it someone writes “Still waiting for clarity” and you feel the mood shift. It naturally raises thoughts like how much weight do these comments carry or how quickly do repeated complaints affect perception.

Complaint platforms add their own voice to this picture. You read stories where people explain everything step by step, and you catch yourself thinking what do these complaint patterns say about our service health or which moments create the biggest impact on trust. These reflections happen almost automatically while scrolling.

App stores bring another angle. A small comment such as “Update fixed it for me” or “App froze again this morning” can answer questions you have been carrying around like does app feedback influence our online reputation more than we assume or how do these short notes shape first impressions. These thoughts appear naturally because the comments feel close to everyday use.

How These Channels Shape Brand Credibility Over Time

When you look across all these places, the same feelings surface in different tones. A quick remark in a review appears again as a detailed story on a complaint site and later shows up as a short line in an app store. It leads to bigger reflections like how do we strengthen credibility when signals repeat across channels or what kind of patterns define our long term reputation.

People rarely sit down and analyze everything. They gather a sense of the brand while scrolling for a few minutes. Indirect feedback becomes the quiet record that shapes that sense. It shows how small moments build trust little by little and how those moments stay in people’s minds long after they leave the page.

Fun Fact

⭐ People usually read at least five reviews before they feel confident about a brand, yet their impression often comes from one or two comments that stay in their mind.

🔍 Tiny patterns also matter more than we expect. A few similar remarks in the same week can shift the overall mood long before the rating moves.

 

Turning Indirect Feedback Into Improvements

Indirect feedback becomes useful the moment it stops feeling like scattered opinions and starts pointing the team toward something real. You read through a set of notes and suddenly a shape appears that was not obvious before. That shift from loose comments to shared signals is where improvement begins.

Treating Indirect Comments As Structured Insights

Even a short line like “Took forever to load” can carry more weight than it seems. When similar notes appear in reviews, complaint pages and app stores, you begin to sense a rhythm. These comments are not organized, yet they describe real moments that shaped someone’s day.

CX teams often catch these signals without effort. You scroll, pause at a familiar sentence and feel that small spark of recognition. That spark is usually the first clue that a scattered set of comments is forming something meaningful.

As a brand grows, these moments multiply. What once felt simple to keep an eye on becomes a flow that moves faster than anyone can follow by hand.

One week you are checking a handful of reviews. The next week the volume doubles and new threads appear in corners you were not watching.

Indirect feedback scales with the company, and at some point it shifts from something you check casually to something that needs structure if it is going to stay useful.

Collecting Indirect Feedback Within A Single VoC Platform

Trying to follow these sources separately can drain anyone’s focus. One tab for reviews. Another for complaints. Another for app stores. After a while you find yourself jumping back and forth, unsure which comment came from which place.

Bringing everything into one place with a Voice of the Customer platform like Pisano changes the experience entirely. When a note from a review page sits next to a similar remark from an app store, the pattern becomes almost impossible to miss.

Centralization helps the overall mood rise to the surface rather than getting buried across different channels. You start to see connection instead of noise.

Using AI-Based Text Analytics For Open Comments

Indirect feedback arrives with its own texture. People write with their tone, their emotion and their timing. Reading ten comments by hand can be insightful. Reading hundreds becomes overwhelming, especially when each one uses different words for the same feeling.

AI-based text analytics helps reveal the story beneath the surface. It shows which themes appear more often, which emotions feel louder and which issues seem to gather momentum before anyone mentions them in a survey. It is less about replacing human reading and more about giving teams a clearer starting point in a sea of free form text.

Moving From Insight To Improvement

There is a moment when a pattern becomes strong enough that the team pauses and says we should act on this. Maybe several customers describe getting stuck at the same step. Maybe praise for a small improvement keeps appearing across three different channels. These signals guide teams toward meaningful updates.

Closing the loop starts with conversations like these. A product team might refine a confusing path. A support team might prepare clearer guidance that reflects questions people keep asking. A communications team might share a note that reassures customers who felt uncertain. Improvement often starts with small steps that quietly remove friction or reinforce what people already appreciate.

You know the loop is closing when those recurring comments begin to ease. When the thread that once showed frustration becomes a place where someone writes “Working better now”. These small shifts are the clearest sign that action reached the people who needed it.

Turning Indirect Feedback Into Clearer Action

Before

  • Comments feel scattered across many places
  • Teams guess which issues appear most often
  • Small signals stay hidden inside long reviews
  • Volume grows faster than anyone can follow
  • Patterns stay blurry without a shared view

After

  • Insights form as comments gather in one place
  • Repeating themes show where action is needed
  • Early clues appear before issues grow
  • Teams close the loop with clearer steps
  • Everyone works with the same picture of customer needs

How Pisano Supports Indirect Feedback Work

Indirect feedback feels rich, honest and incredibly helpful, but it can also feel overwhelming once the volume grows. You start the week planning to check a few channels and suddenly find yourself opening endless tabs, trying to remember where a specific comment came from. Pisano steps in here, not by changing how people speak, but by helping teams hear them more clearly.

Bringing All Signals Into One Place

Pisano gathers comments from review sites, complaint platforms and app stores so teams no longer have to chase pieces across the internet. You open the platform and everything sits together in a calm, structured view. A note from a complaint page appears right beside a remark from an app store, and that is usually the moment when the pattern reveals itself.

You no longer wonder where a comment came from. You just read the flow and see the story forming.

Reading The Mood With AI Based Text Analytics

Open comments come with their own personality. Some are warm and brief. Others stretch into long explanations that reflect many emotions at once. Pisano helps teams interpret this variety by showing themes, sentiment and rising topics in a clear way. It is still your insight and your experience guiding the decisions. The platform simply does the heavy sorting so you can focus on what these signals mean.

It feels a bit like stepping into a room that someone already tidied for you. The important pieces stand out without losing their human tone.

Turning Insights Into Action Without Losing Speed

Pisano makes closing the loop feel smoother. Once a pattern becomes clear, teams can assign actions, track progress and keep everyone aligned without switching tools. A concern mentioned in a review can turn into a task for the product team. A repeated question from an app store can inspire a clearer guide for support. Updates reach the people who need them, and you can watch the comments shift over time.

You begin to see those small messages that mean everything. The ones that say “Works better now” or “Thanks for the fix”. These moments show that the loop is not only closing but reaching the customer in a meaningful way.

Explore How Pisano Helps You Leverage Indirect Feedback

Pisano brings signals from review sites, complaint spaces and app stores into one place so teams can see the full story without chasing tabs. Clear themes, natural language insights and real comments stay side by side, helping you understand what customers share freely.

FREQUENTLY ASKED QUESTIONS

1. What do CX teams actually mean by indirect feedback?
It refers to anything customers share without being asked. Reviews, complaint threads, app store notes, forum questions and quick social posts all count. These moments help teams see how people feel in real situations.
2. Why does indirect feedback show issues before surveys do?
People speak freely in these spaces. They describe the moment they got stuck or frustrated without waiting for a form. These early signs help teams sense trouble long before it appears in scores or monthly reports.
3. How do review platforms influence customer trust?
Many customers read reviews casually while deciding if they should try a service. A few warm notes can reassure them, while a streak of low ratings creates hesitation. The tone of reviews shapes trust even when people only skim.
4. Why do complaint sites matter so much for reputation?
Complaint platforms show the full story behind frustration. When several people describe the same situation, it leaves a lasting impression. These threads remain visible for a long time, shaping how new customers see the brand.
5. What can app store comments tell me that surveys cannot?
App store comments reflect routine moments. People mention slow loading, login trouble or a smoother flow after an update. These notes show how the product feels in daily use rather than in a controlled survey moment.
6. Why do forum questions reveal hidden friction points?
Forums show what customers struggle to understand. When the same question appears several times, it signals a clarity issue. These patterns often reveal small but important gaps in guidance or communication.
7. Why does indirect feedback get harder to track as a company grows?
Comment volume rises and spreads across many sites. A few notes become hundreds. New threads appear in places teams were not watching. After a point, manual checking turns into guesswork instead of insight.
8. How does bringing all indirect feedback into one VoC platform help?
Seeing reviews, complaints and app store comments together makes patterns clearer. A concern mentioned in one channel often appears in another. This combined view helps teams read the full picture instead of reacting to scattered pieces.
9. Why do CX teams use AI for indirect feedback instead of reading manually?
Indirect feedback arrives in many styles and tones. AI helps reveal repeated themes, emotional patterns and early signals that get lost when volume grows. Teams still read comments, but they start with a clearer map of what matters most to customers.
10. How does indirect feedback help teams close the loop?
When the same struggle appears across reviews, complaints and app stores, it becomes a clear sign for action. Teams adjust flows, update guidance or refine communication. You can see the loop closing when comments shift from frustration to relief.
11. How does Pisano support indirect feedback analysis?
Pisano gathers all indirect feedback sources in one place. AI helps interpret tone, themes and shifts, and the platform connects these insights with workflows so teams can take action quickly and see real improvement in comments over time.
📚 Vocabulary: Key Terms Used In This Post
🌐 Indirect Feedback: Unprompted customer comments shared on review platforms, complaint sites, app stores, forums or social channels. These signals show how people felt during real experiences.
Review Platforms: Websites where customers publish ratings and comments. These pages influence trust, preference and research based decisions during consideration.
⚠️ Complaint Platforms: Spaces where customers report issues publicly. Patterns across these threads highlight recurring service challenges and customer frustration themes.
📱 App Store Reviews: Comments left under mobile app versions. These notes show how updates, performance and usability shape the day to day product experience.
💬 Community Forum Feedback: User generated questions and discussions. Repeated questions highlight unclear flows, missing guidance or confusing product areas.
📣 Online Reputation Management: The practice of monitoring and responding to public feedback across digital channels. It shapes how customers perceive trust, reliability and service quality over time.
🏷️ Brand Reputation Signals: Themes that appear repeatedly across reviews, complaints and app stores. These signals shape long term perception even when customers only skim a few comments.
🧩 Theme Grouping: Collecting similar comments under shared topics such as delivery, login or support. This helps teams make sense of large volumes of indirect feedback.
🔍 AI Based Text Analytics: AI supported methods that identify sentiment, themes and patterns in unstructured comments so teams can read signals clearly at scale.
🎧 Unified Feedback View: A single screen that gathers indirect feedback from all channels. This helps teams connect repeated issues and see the overall mood without switching pages.
🔁 Closing The Loop: Turning insights into action. Teams update flows, fix issues or clarify guidance based on what customers repeatedly mention, then observe how comments change afterward.