# Review Sentiment Aggregator: Quick Insight From Customer Voices

Mateo Cardenas

Yesterday• 2 min read

When a new feature lands or a campaign goes live, a flood of reviews arrives. Finding the signal amid that noise can feel like hunting for a needle in a haystack. The Review Sentiment Aggregator turns that chaos into a clear, actionable snapshot in seconds.

# Review Sentiment Aggregator

## 1. Overview

The Review Sentiment Aggregator reads a set of customer reviews and produces a concise summary that tells you the overall feeling (sentiment) of the customers and highlights the most common pain points they mention.

## 2. Business Value

- **Customer Insight** – Quickly see how customers feel about the product.
- **Prioritization** – Identify the most frequent problems so the product team can focus on fixing what matters most.
- **Efficient Reporting** – Provides a ready-to-share summary for product managers, marketers, and leadership without manual analysis.

## 3. Operational Context

- **When to run** – After a product release, a marketing campaign, or any period when a batch of customer feedback has been collected.
- **Who uses it** – Product managers, product owners, and marketing analysts who need a quick, data-driven view of customer sentiment.
- **How often** – As often as new review data is available (e.g., weekly, after each launch, or on a scheduled cadence).

## 4. Inputs

### 4.1 List of Customer Reviews

| Field | Type | Details Provided |
| --- | --- | --- |
| Review ID | Text (human-readable) | A short, unique identifier for the review (e.g., “R001”). |
| Review Text | Text | The full text of the customer’s comment or review. |

_Only the above two fields are required for each review._

## 5. Outputs

### 5.1 Sentiment Summary Report

| Item | Content & Format |
| --- | --- |
| **Overall Sentiment** | Text – “Positive”, “Negative”, or “Mixed” based on the majority of reviews. |
| **Sentiment Breakdown** | Bullet list showing the count and percentage of Positive, Neutral, and Negative reviews (e.g., “Positive: 8 (53 %)”). |
| **Top Pain Points** | Ranked list (up to 5) of the most frequently mentioned problems, each with a brief description and the number of times it appeared. |
| **Notes** | Any observations, such as “2 reviews could not be processed due to missing text”. |

## 6. Detailed Plan & Execution Steps

1. **Verify Input**  
   Confirm the list of reviews contains at least one entry.  
2. **Assign Sentiment to Each Review**  
   Scan the Review Text for words and phrases from the **Sentiment Keyword List**.  
3. **Extract Potential Pain Points**  
   Search the Review Text for any phrase that matches a **Pain-Point Keyword**.  
4. **Aggregate Pain-Points**  
   Normalize similar phrases using the **Pain-Point Normalization Table**.  
5. **Rank Pain Points**  
   Sort the aggregated pain-points by frequency, descending.  
6. **Calculate Overall Sentiment**  
   Count the number of Positive, Negative, and Neutral reviews.  
7. **Compose the Summary Report**  
   Write **Overall Sentiment** and provide **Sentiment Breakdown**.  
8. **Produce Output**  
   Assemble the report exactly as described.

## 7. Validation & Quality Checks

- **Input Presence** – Ensure at least one review with non-empty text is present; otherwise, abort and flag for manual review.
- **Sentiment Consistency** – Re-run the word-count check for each processed review.
- **Pain-Point Normalization** – Verify that each extracted phrase matches a term in the **Pain-Point Keyword List**.

## 8. Special Rules / Edge Cases

- **Missing Review Text** – Exclude the review and continue processing remaining reviews.
- **Tie for Top Pain Points** – Include all tied items up to the limit of five.
- **No Pain Points Identified** – Report “No significant pain points detected” in the **Top Pain Points** section.

## 9. Example

### Input (list of 3 reviews)

| Review ID | Review Text |
| --- | --- |
| R001 | “The new dashboard looks great, but the loading time is painfully slow.” |
| R002 | “I love the new features, but the app crashes often when I try to export a report.” |
| R003 | “Excellent performance! Works exactly as I expected.” |

### Output (Sentiment Summary Report)

- **Overall Sentiment**: Mixed
- **Sentiment Breakdown**  
  - Positive: 2 (66 %)  
  - Negative: 1 (33 %)  
  - Neutral: 0 (0 %)
- **Top Pain Points**  
  1. **Slow loading** – 1 mention  
  2. **Frequent crashes** – 1 mention
- **Notes**  
  - No missing review text.  
  - All three reviews processed successfully.