The foundation for trustworthy
AI text analytics.

Parsa turns customer conversations into trustworthy analytics, with every label scored and reproducible. Your data is never copied, embedded, or stored, so your team moves faster with AI-powered insight while staying in control.

parsa

/Data sources / New

Acme SupportAC

Connect your data source

Choose where your text lives. Your data is processed in-memory and never stored.

Support & CRM

Databases

Warehouses

Product & Analytics

Files

Why Parsa

One question.A dozen smaller ones.what's the sentiment?which product area?trending up or down?

Real business questions aren’t one prompt. They’re a bundle of smaller, interconnected questions that have to be broken down, answered, and synthesized.

The question

How are customers responding to the launch of our new Savings feature? I want to know if sentiment is trending up or down.

Analysis type

Aggregation, sentiment over time

Time window

Since launch (14 days)

Product area

Savings

Sentiment focus

Net-negative, trending down (WoW)

→ But every sub-question needs trustworthy labels first.

The question

How are customers responding to the launch of our new Savings feature? I want to know if sentiment is trending up or down.

→ But every sub-question needs trustworthy labels first.

Analysis type

Aggregation, sentiment over time

Time window

Since launch (14 days)

Product area

Savings

Sentiment focus

Net-negative, trending down (WoW)

How Parsa answers them

Each question becomes a scored, versioned label.

Every sub-question becomes a trustworthy label, and those labels stack into the insight, each one scored, versioned, and human-checked so the final answer holds up.

Input

Zendesk

“table came broken and support never replied”

streaming · read-only

The Parsa Engine

Versioned · Scored · Reviewed · Tracked

All labels142

LabelVersionConfidenceStabilityFeedbackUpdated

Billing›Refunds

Refunds related to damaged items

v4▲

94%

+2.1% ↑

18 ✓ / 2 ✎

2h ago

Issues accessing account

89%

-0.4% ↓

11 ✓ / 1 ✎

1d ago

Sentiment›Negative

Net reaction, tracked over time

v3▲

91%

-2.4% ↓

24 ✓ / 3 ✎

5h ago

Shipping›Delays

Late or missing deliveries

87%

+1.3% ↑

14 ✓ / 2 ✎

3h ago

Product›Savings

Mentions of the new Savings feature

v5▲

92%

+3.2% ↑

31 ✓ / 4 ✎

6h ago

Commit history per label

v3→v4

Read-only accessNo data storedNo embeddings

Output

LiveLive

142

All labels

94%

Accuracy

+2.1%

Stability

Dashboards

Real-time visibility

Monthly Label Report

LabelCoverageConfidence

Billing › Refunds32%94%

Sentiment › Negative35%91%

Reports / Insights

Research-grade outputs

GET /v1/labels/predict200 OK

{
  "label": "Login › Access",
  "confidence": 0.89,
  "version": "v2"
}

Applications / API

Integrate anywhere

Sync to Zendesk Synced

Ticket #12345 Zendesk

Back to source systems

Zendesk · CRM · Support

The process to generate the labels.

Describe the labels you want in plain English. Parsa reads your text, drafts a taxonomy, and labels every row. You refine it in chat until it is exactly right.

Top Level CategoriesLive

Your prompt

Classify customer feedback by topic (top-level issue areas) for Northwind Bank so support and product teams can prioritize the most common reasons customers reach out. Labels should be mutually exclusive, clearly defined, and suitable for trend reporting.

Granularity

Medium (6–10 labels)

Dataset

support_threads

Generated Taxonomyv144 labelsRegenerate+ Add label

#Label namePrevalenceDescriptionActions

1Investing & Personal FinanceMedFinancial planning and investment strategy — ETFs, retirement, “what should I do with my money”.

2Customer Service & Account HandlingHighSupport quality and account administration — hold times, unhelpful agents, escalations.

3Savings Rates & PromotionsHighSavings rates, promotional offers, sign-up bonuses, and referral incentives.

4Login & Access ReliabilityMedAccount access failures — login loops, locked accounts, failed password resets.

Tested on sample

LabelDistributionConsistency

Investing & Personal Finance14%83%

Customer Service & Account Handling48%82%

Savings Rates & Promotions18%66%

Top Level Categoriesv14Prod· updated 4d ago

EditPromote

Commit history

v14headUpdated label assignment rules

4d agoRestore

v13[chat] Tightened “Payments” description

5d agoRestore

v12[chat] Split “Banking Products” → Comparisons

6d agoRestore

v11Deleted “Security Holds, Fraud …”

8d agoRestore

v13→v14Compare versions▲ +2.1% accuracy

label: Savings Rates & Promotions

-assign when: any mention of savings rates or offers

+assign when: rates, promotional offers, sign-up bonuses, referrals

+exclude: strategic “where should I keep my money” → Investing

label: Login & Access Reliability

+added: owns login loops, locked accounts, failed resets

The system of record.

Promote a label and every re-run becomes a version you can diff, score, and roll back. Reviewer corrections compound into the next version.

Feedback in. Drift caught early.

Reviewers agree or correct every label, and Parsa watches your taxonomy for drift. A new theme surfaces while it is still small, before it distorts the labels you trust.

Top Level Categoriesv14 · PRODDashboardFeedbackRuns

Label Distribution4 labels

Customer Service & Account Handling61648%

Savings Rates & Promotions23118%

Investing & Personal Finance18014%

Other776%

Consistency ScoresAvg 79%

Investing & Personal …83%

Customer Service & A…82%

Other74%

Savings Rates & Prom…66%

Based on 3-pass consistency testing · 20 samples per label

User AlignmentView feedback →

Investing & Personal …88% ✓

Savings Rates & Prom…71% ✓

Reviewer agreement compounds into the next version.

Job HistoryView all →

Top Level CategoriesJun 17

Top Level CategoriesJun 16

Re-run · sample testJun 14

Other Watch2.8%▲ +1.0%

New theme forming · Savings rate cut complaints, 14 rows landing in “Other”, caught before it has a label.

Promote to label

The payoff

Now your labels go to work.

The same scored, versioned labels you just watched Parsa build are what power everything from here: live dashboards, deep research, and write-back to your tools, all reading from one trusted source.

Building a dashboard.

Every label becomes a live tile you can chart, filter, and break down. Drag any tile into Avero to compare slices, surface outliers, and pull the exact rows behind a number. As new data lands, the dashboard updates on its own.

Parsa·support_threads · Top Level Insightsv14 · PRODDaily|Weekly|Monthly

Dataset

support_threads

1,284 rows · selected

LabelsANDOR

Click “Add label” to create one

Add label

Executive Report

1,284 threads

What's going well

48% of labeled threads (616 of 1,284) sit in Customer Service & Account Handling, the single largest category. Routing and triage on these is reliable and consistent.

What can be improved

Savings Rates & Promotions (18%, 231 threads) is trending down week over week and has the weakest consistency at 66%. It is the category to dig into, followed by Investing & Personal Finance (180, 14%).

Drag to Avero

High Level Topics Time Series4 topics

Customer Service & Account HandlingSavings Rates & PromotionsInvesting & Personal FinanceLogin & Access Reliability

Results1,284 rows

iddatechannelthreadlabelconf

t-482012026-06-07chatThe promo savings rate I signed up for dropped after one month with no notice. Disappointed.Savings Rates & Promotions64%

t-481882026-06-06phoneLocked out of my account after a password reset and the login link never arrives by email.Login & Access Reliability92%

t-481742026-06-05emailWaited 40 minutes on hold to update my mailing address, then got disconnected twice.Customer Service & Account Handling81%

t-481592026-06-03chatWondering whether to move my savings into a GIC or an index fund for retirement. Any guidance?Investing & Personal Finance83%

t-481422026-06-02phoneIs the new Savings feature bonus still running? The rate in the app does not match the offer email.Savings Rates & Promotions66%

AveroAI

Hi, I'm Avero.

Drag any tile on this dashboard into my window and I'll help you dig in. I can explain what a chart shows, compare slices, surface outliers, and pull supporting threads from the underlying rows.

Drop tile to analyze

High Level Topics Time Series

Avero

Customer Service dominates at 48%, but the topic that answers your question is Savings Rates & Promotions. It rose into the launch and has been trending down for the last few weeks, with the weakest consistency at 66%. Sentiment on the new Savings feature is net negative.

Ask a question…

Deep Research

The research report.

Ask whether sentiment on your new Savings feature is trending up or down. Turn on Deep Research and Parsa writes search queries, pulls from the web, and reads your entire labeled dataset. It produces a full executive report grounded in your labels and cited sources.

Avero·Deep ResearchDeep Researchsupport_threads·1,284 rows

Research question

How are customers responding to the launch of our new Savings feature? I want to know if sentiment is trending up or down.

AGENT TRACE

6 steps completed

Wrote 5 search queries from the active label taxonomy

Searched the web, 14 sources across competitor reviews and forums14 sources

Read the dataset schema and label definitions

Analyzed label co-occurrences across 1,284 rows

Computed the sentiment × category cross-tab

Drafted the executive report

REPORT

Executive Summary

Across 1,284 labeled support threads, the answer to the question is clear. Sentiment on the new Savings feature is trending down. Savings Rates & Promotions accounts for 18% of rows (231 threads), runs 61% negative, and is net negative week over week since launch.

The largest category is Customer Service & Account Handling at 48% (616 threads), followed by Investing & Personal Finance and Login & Access Reliability at 14% each (180 threads apiece). Benchmarked against 14 web sources, the rate cuts behind the new feature line up with the timing of the decline.

CROSS-TAB

Sentiment Distribution by Category

CategoryNegNeuPos

Savings Rates & Promotions61%21%18%

Customer Service & Account Handling44%28%28%

Investing & Personal Finance12%63%25%

ANALYSIS

Key Findings & Insights

Sentiment on the new Savings feature is trending down. Savings Rates & Promotions (231 threads, 18% of rows) runs 61% negative and is net negative week over week since the launch. It also has the weakest 3-pass consistency at 66%.

Access reliability is the second pain point. Login & Access Reliability (180 threads) runs 58% negative, driven by login loops and failed password resets.

The largest category is stable, and investing reads as research. Customer Service & Account Handling (48% of rows) is mixed but steady, while Investing & Personal Finance is mostly neutral how-to questions, not complaints.

ANALYSIS

What is driving the Savings decline

The negative shift concentrates in two sub-themes. The first is the promotional rate rolling off sooner than customers expected, which accounts for 112 of the 231 Savings threads. The second is a mismatch between the rate shown in the app and the rate quoted in the launch email, which appears in 74 threads and correlates with the steepest week-over-week drop.

Cross-referencing the 14 web sources, competitor savings products advertised comparable headline rates over the same window, so the decline reads as an expectations and communication gap rather than a pure pricing disadvantage. The next section breaks the 231 threads down by acquisition channel and tenure, then

Write it back to your tools.

Push your labels straight into the systems your team already works in. Pick the destination field, see exactly which tag each label becomes, then publish. The labels you generated in Parsa show up where the work actually happens.

Publish labels

Review what will be written, then confirm.

Destination

2Review

3Confirm

Zendesk · Northwind Bank

support_threads · 1,284 records

Connected

Write to

Connects with everything you already use.

Pull from your warehouse, files, or APIs — push insights back to the tools your team lives in. No engineering tickets, no migrations.

CSV

PostgreSQL

Snowflake

BigQuery

Redshift

Databricks

MySQL

MongoDB

CSV

PostgreSQL

Snowflake

BigQuery

Redshift

Databricks

MySQL

MongoDB

Salesforce

HubSpot

Slack

Zendesk

Intercom

Notion

Segment

Mixpanel

Looker

Tableau

Medallia

Salesforce

HubSpot

Slack

Zendesk

Intercom

Notion

Segment

Mixpanel

Looker

Tableau

Medallia

Security by design

You earned your customers' trust.
We don't take that lightly.

Parsa never copies, embeds, or stores your raw text. We connect read-only, process in memory, and return only the structured results.

01Zero data persistence — raw text is never stored
02Column-level consent and read-only access
03AES-encrypted credentials with per-tenant isolation

Record	Label	Tag to write
#48142	Savings Rates & Promotions	parsa_savings_rates_promotions
#48188	Login & Access Reliability	parsa_login_access_reliability
#48174	Customer Service & Account Handling	parsa_customer_service_account_handling

One question.A dozen smaller ones.A dozen smaller ones.what's the sentiment?which product area?trending up or down?

Each question becomes a scored, versioned label.

The process to generate the labels.

The system of record.

Feedback in. Drift caught early.

Now your labels go to work.

Building a dashboard.

The research report.

6 steps completed

Executive Summary

Sentiment Distribution by Category

Key Findings & Insights

What is driving the Savings decline

Write it back to your tools.

Connects with everything you already use.

You earned your customers' trust.We don't take that lightly.

One question.A dozen smaller ones.what's the sentiment?which product area?trending up or down?

You earned your customers' trust.
We don't take that lightly.