TDD: 16 examples passing. Adds EVENTS constant, active/for_event scopes,
and matches_reservation? with unit_ids/categorias/permanencias filters.
Also adds captain_reservation factory used by the spec.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Cobre ambos os caminhos (generate_pix_tool e PublicReservationsController):
toda reserva criada recebe um after_create_commit que posta uma mensagem
privada na conversa com os detalhes (suite, check-in, valores, ID).
Remove a criacao duplicada do PublicReservationsController.
- GeneratePixTool: envia payment_link como mensagem outgoing direta (bypassa
hallucination de [Link do Pix] placeholder pela LLM)
- GeneratePixTool: extrai email das mensagens recentes via regex e persiste
em contact.email
- GenerateReservationLinkTool: mesmo padrao de envio direto do link
- Captain::Reservation: after_create_commit callback atualiza
ultima_suite/permanencia/reserva_em/total_reservas em contact.custom_attributes
(aparece no painel lateral)
- Controller grava cpf/ultima_suite/ultima_permanencia/ultima_reserva_em/total_reservas
em contact.custom_attributes (aparece no painel lateral do Chatwoot)
- GenerateReservationLinkTool exige marca/unidade/categoria/permanencia/checkin_at;
retorna erro se Jasmine chamar sem esses dados
Mirrors CheckPixPaymentTool resolve_conversation helpers. No fallback,
Jasmine so precisa passar categoria/permanencia/checkin_at - a tool
preenche nome/telefone/cpf/email a partir do contato.
Cria Captain::Tools::GenerateReservationLinkTool que constrói URL
pré-preenchida do reserva-1001 com dados coletados em conversa.
Registra entrada generate_reservation_link em tools.yml e documenta
RESERVA_1001_BASE_URL no .env.example.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Arquitetura corrigida: templates agora pertencem à inbox (WhatsApp),
não à unidade PIX (que é uma config financeira, não de mensagens)
- Migration: troca FK captain_unit_id -> inbox_id (up/down explícito)
- Model: belongs_to :inbox; scope for_inbox
- Controller: escopo via account.inboxes.find(inbox_id)
- Rotas: move de captain/units/:id → inboxes/:id/notification_templates
- Scanner job: joins(:conversation).where(conversations: {inbox_id:})
- UI: página /captain/notifications com seletor de inbox no topo
(chips clicáveis, templates carregam por watch no selectedInboxId)
- i18n PT/EN: novas keys INBOX_LABEL, SELECT_INBOX_HINT, EMPTY
- Adiciona check_in_at/duration_hours ao schema do tool CreateReservationIntent
para que a IA capture o horário EXATO de chegada informado pelo cliente
- Cria captain_notification_templates: label, content, timing_minutes,
timing_direction (before/after), active, position
- Implementa SendNotificationService com interpolação de variáveis
(guest_name, check_in_time, check_out_time, suite_name, unit_name)
- Implementa NotificationScannerJob (Sidekiq-cron a cada 5min) com
janela de tolerância de ±5min e idempotência via metadata JSONB
- API REST: /captain/units/:unit_id/notification_templates (CRUD)
- Store Vuex captainNotificationTemplates + API client
- UI: página de gestão de templates com editor inline e botão '+'
- Configura rota captain_settings_notifications
- i18n PT/EN para todas as strings novas
- Rubocop e ESLint: zero offenses
The [Galeria de Fotos] rules previously added to assistant_response_generator
only apply to the legacy V1 chat service. In V2 (captain_integration_v2),
scenario agents use scenario.liquid as their system prompt template, not
assistant_response_generator.
This adds conditional rules to scenario.liquid (matching the existing pattern
for faq_lookup and check_pix_payment) that activate for any scenario that
has the send_suite_images tool:
- Infer suite_category vs suite_number from context, no confirmation needed
- Never announce photo sending before the tool confirms images were found
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Adiciona SYSTEM_PROMPT_LEAK_PATTERNS no ResponseBuilderJob para detectar quando o LLM retornou o system prompt em vez de uma resposta ao cliente
- Filtra mensagens contaminadas do historico de conversas antes de enviar ao LLM (evita contaminacao em espiral)
- Adiciona guardrail no validate_message_content! que redireciona para handoff humano em caso de vazamento detectado
- Cria Captain::Errors::SystemPromptLeakError para tipagem do erro
- Atualiza assistant.liquid com tags INSTRUCOES_INTERNAS e REGRA CRITICA para instruir o LLM a nao reproduzir o system prompt como resposta
Implementa a página Relatórios IA com geração de análises semanais
por IA baseadas nas conversas de cada unidade/caixa de entrada.
Funcionalidades:
- Página /settings/captain/reports com dois tabs (Insights IA / Operacional)
- Botão "Gerar Análise" que enfileira job Sidekiq
- Filtro por unidade ou caixa de entrada
- Exibe insights com status (pendente/processando/concluído/falhou)
- Mostra top_topics, ai_failures e period_summary
- Estado vazio com CTA para gerar primeiro relatório
Backend:
- InsightsController com endpoints index/show/generate
- GenerateInsightsJob que processa conversas com LLM
- ConversationInsightService com chunking e merge inteligente
- Migração para adicionar inbox_id à tabela captain_conversation_insights
- Link sidebar "Relatórios IA" em /settings/captain/reports
Frontend:
- Vuex store captainReports com actions/mutations/getters
- API client CaptainReportsAPI (getInsights, generateInsight)
- i18n en e pt_BR para CAPTAIN_REPORTS.*
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Melhorias na ferramenta send_suite_images para resolver confusão entre
categoria e número de suíte:
1. **Descrições de parâmetros mais claras**
- suite_category: exemplos específicos (Hidromassagem, ALEXA, STILO)
- suite_number: apenas números (101, 102, 103) - remove exemplos confusos
2. **Instruções explícitas no system prompt**
- Seção [Galeria de Fotos] com regras claras
- Prioriza suite_category quando ambíguo
- Evita confirmações desnecessárias com cliente
3. **Mensagens de erro melhoradas**
- Sugere buscar por categoria quando busca por número falha
- Feedback mais útil para a IA
Resultado esperado:
- Cliente: "Me manda foto da suite Alexa"
- IA: busca por suite_category="Alexa" ✓ (sem pedir confirmação)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
# Pull Request Template
## Description
Please include a summary of the change and issue(s) fixed. Also, mention
relevant motivation, context, and any dependencies that this change
requires.
Fixes:
The LLM call was wrapped in a transaction. This is an anti-pattern and
caused idle-connections which PG eventually terminated with
`PQconsumeInput() FATAL: terminating connection due to
idle-in-transaction timeout`
This resulted in activity messages being missing in some conversations
on captain handoff, failures queueing up for retry and captain
responding long after conversation was marked open/snoozed.
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
locally and specs
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
# Pull Request Template
## Description
## Type of change
typo fix
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
Langfuse logging improvements
## Description
Please include a summary of the change and issue(s) fixed. Also, mention
relevant motivation, context, and any dependencies that this change
requires.
Fixes # (issue)
For reply suggestion: the errors are being stored inside output field,
but observations should be marked as errors.
For assistant: add credit_used metadata to filter handoffs from
ai-replies
For langfuse tool call: add `observation_type=tool`
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
before:
<img width="1028" height="57" alt="image"
src="https://github.com/user-attachments/assets/70f6a36e-6c33-444c-a083-723c7c9e823a"
/>
after:
<img width="872" height="69" alt="image"
src="https://github.com/user-attachments/assets/1b6b6f5f-5384-4e9c-92ba-f56748fec6dd"
/>
`credit_used` to filter handoffs from AI replies that cause credit usage
<img width="1082" height="672" alt="image"
src="https://github.com/user-attachments/assets/90914227-553a-4c03-bc43-56b2018ac7c1"
/>
set `observation_type` to `tool`
<img width="726" height="1452" alt="image"
src="https://github.com/user-attachments/assets/e639cc9b-1c6c-4427-887e-23e5523bf64f"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
# Pull Request Template
## Description
Instruments captain v2
## Type of change
- [x] New feature (non-breaking change which adds functionality)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
Local testing:
<img width="864" height="510" alt="image"
src="https://github.com/user-attachments/assets/855ebce5-e8b8-4d22-b0bb-0d413769a6ab"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
## Summary
This PR reduces duplicate failure noise for audio transcription jobs
that fail with permanent HTTP 400 responses, and fixes a file-format
edge case causing intermittent 400s.
Sentry issue: [CHATWOOT-99E /
6660541334](https://chatwoot-p3.sentry.io/issues/6660541334/)
## Confirmed root cause
For some attachments, the stored filename had no extension (example:
`speech`, content type `audio/mpeg`).
When the temporary transcription upload file was created without an
extension, OpenAI returned:
`Unrecognized file format` (HTTP 400).
## Scope of changes
1. `Messages::AudioTranscriptionJob`
- Keeps `discard_on Faraday::BadRequestError` to avoid retry storms on
permanent request errors.
- Adds explicit Rails warning logs for discarded jobs with
attachment/job/status context.
2. `Messages::AudioTranscriptionService`
- Keeps guaranteed temp file cleanup via `ensure`.
- Ensures temp upload files include an extension when the original
filename has none, derived from blob `content_type`.
- This addresses intermittent failures like extensionless `audio/mpeg`
files.
## Reproduction
Enable audio transcription for an account and process an audio
attachment whose stored filename has no extension (for example `speech`)
but valid audio content type (`audio/mpeg`).
Before this fix, OpenAI transcription could return HTTP 400
`Unrecognized file format` for that attachment while similar attachments
with extensions succeeded.
## Testing
Ran:
`bundle exec rubocop
enterprise/app/jobs/messages/audio_transcription_job.rb
enterprise/app/services/messages/audio_transcription_service.rb`
Result: both modified files pass lint with no offenses.
## Description
Fixes a critical bug where conversations assigned to a team could be
auto-assigned to agents outside that team when all team members were at
capacity.
## Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
## Checklist:
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> **Medium Risk**
> Changes core assignment selection for both legacy and v2 flows;
misconfiguration of `allow_auto_assign` or team membership could cause
conversations to remain unassigned.
>
> **Overview**
> Prevents auto-assignment from crossing team boundaries by filtering
eligible agents to the conversation’s `team` members (and requiring
`team.allow_auto_assign`) in both the legacy `AutoAssignmentHandler`
path and the v2 `AutoAssignment::AssignmentService` (including the
Enterprise override).
>
> Adds test coverage to ensure team-scoped conversations only assign to
team members, and are skipped when team auto-assign is disabled or no
team members are available; also updates the conversations controller
spec setup to include team membership.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
67ed2bda0cd8ffd56c7e0253b86369dead2e6155. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
## Linear Ticket:
https://linear.app/chatwoot/issue/CW-6081/review-feedback
## Description
Assignment V2 Service Enhancements
- Enable Assignment V2 on plan upgrade
- Fix UI issue with fair distribution policy display
- Add advanced assignment feature flag and enhance Assignment V2
capabilities
## Type of change
- [ ] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
This has been tested using the UI.
## Checklist:
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged and published in downstream
modules
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> **Medium Risk**
> Changes auto-assignment execution paths, rate limiting defaults, and
feature-flag gating (including premium plan behavior), which could
affect which conversations get assigned and when. UI rewires inbox
settings and policy flows, so regressions are possible around
navigation/linking and feature visibility.
>
> **Overview**
> **Adds a new premium `advanced_assignment` feature flag** and uses it
to gate capacity/balanced assignment features in the UI (sidebar entry,
settings routes, assignment-policy landing cards) and backend
(Enterprise balanced selector + capacity filtering).
`advanced_assignment` is marked premium, included in Business plan
entitlements, and auto-synced in Enterprise accounts when
`assignment_v2` is toggled.
>
> **Improves Assignment V2 policy UX** by adding an inbox-level
“Conversation Assignment” section (behind `assignment_v2`) that can
link/unlink an assignment policy, navigate to create/edit policy flows
with `inboxId` query context, and show an inbox-link prompt after
creating a policy. The policy form now defaults to enabled, disables the
`balanced` option with a premium badge/message when unavailable, and
inbox lists support click-to-navigate.
>
> **Tightens/adjusts auto-assignment behavior**: bulk assignment now
requires `inbox.enable_auto_assignment?`, conversation ordering uses the
attached `assignment_policy` priority, and rate limiting uses
`assignment_policy` config with an infinite default limit while still
tracking assignments. Tests and i18n strings are updated accordingly.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
23bc03bf75ee4376071e4d7fc7cd564c601d33d7. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Pranav <pranav@chatwoot.com>
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
# Pull Request Template
## Description
Reply suggestions uses `search_documentation`. While this is useful,
there is a subtle bug, a user's message may be in a different language
(say spanish) than the FAQs present (english).
This results in embedding search in spanish and compared against english
vectors, which results in poor retrieval and poor suggestions.
Fixes # (issue)
This PR fixes the above behaviour by making a small llm call translate
the query before searching in the search documentation tool
## Type of change
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
before:
<img width="894" height="157" alt="image"
src="https://github.com/user-attachments/assets/83871ee5-511e-4432-8b99-39e803759f63"
/>
after:
<img width="1149" height="294" alt="image"
src="https://github.com/user-attachments/assets/f9617d7a-6d48-4ca1-ad1c-2181e16c1f3d"
/>
test on rails console:
<img width="2094" height="380" alt="image"
src="https://github.com/user-attachments/assets/159fdaa5-8808-49d2-be5d-304d69fa97f7"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
## Bug Explanation
- The Super Admin limits form renders inputs by iterating the keys of
`account.limits`.
- When `account.limits` was present, `AccountLimitsField#to_s` returned
only that hash (no defaults).
- On save, `SuperAdmin::AccountsController` compacts the limits hash,
removing blank keys.
- Result: if only one key (e.g., `agents`) was saved, the other keys
were missing from the hash and their fields disappeared on the next
render.
## Fix
- Always start from a defaults hash of all expected limit keys and merge
in any saved overrides.
- This keeps the UI stable and ensures all limit inputs remain visible
even when the stored hash is partial.
- Upgraded meta_request to `0.8.5` to stop a dev‑only `SystemStackError`
caused by JSON‑encoding ActiveRecord::Transaction in Rails 7.2. No
production behavior changes.
## Reproduction Steps
1. In Super Admin, edit an account and set only `agents` in the limits;
leave other limit fields blank and save.
2. Re-open the same account in Super Admin.
3. Observe that only `agents` is rendered and other limit fields are
missing.
## Testing
- Tested on UI
---------
Co-authored-by: Muhsin Keloth <muhsinkeramam@gmail.com>
# Pull Request Template
## Description
Fixes # (issue)
When we migrated to RubyLLM, images weren't being sent properly in
RubyLLM format to the model, so it did not understand images.
## Type of change
Please delete options that are not relevant.
- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.
specs + local testing
Current behaviour on staging:
<img width="772" height="1012" alt="image"
src="https://github.com/user-attachments/assets/7b7d360f-dea4-48af-b20b-ee4c98a38a85"
/>
local testing with fix:
<img width="792" height="1216" alt="image"
src="https://github.com/user-attachments/assets/5ef82452-015e-4bda-a68f-884d00acb014"
/>
## Checklist:
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
---------
Co-authored-by: Sojan Jose <sojan@pepalo.com>
We are expanding Chatwoot’s automation capabilities by
introducing **Conversation Workflows**, a dedicated section in settings
where teams can configure rules that govern how conversations are closed
and what information agents must fill before resolving. This feature
helps teams enforce data consistency, collect structured resolution
information, and ensure downstream reporting is accurate.
Instead of having auto‑resolution buried inside Account Settings, we
introduced a new sidebar item:
- Auto‑resolve conversations (existing behaviour)
- Required attributes on resolution (new)
This groups all conversation‑closing logic into a single place.
#### Required Attributes on Resolve
Admins can now pick which custom conversation attributes must be filled
before an agent can resolve a conversation.
**How it works**
- Admin selects one or more attributes from the list of existing
conversation level custom attributes.
- These selected attributes become mandatory during resolution.
- List all the attributes configured via Required Attributes (Text,
Number, Link, Date, List, Checkbox)
- When an agent clicks Resolve Conversation:
If attributes already have values → the conversation resolves normally.
If attributes are missing → a modal appears prompting the agent to fill
them.
<img width="1554" height="1282" alt="CleanShot 2025-12-10 at 11 42
23@2x"
src="https://github.com/user-attachments/assets/4cd5d6e1-abe8-4999-accd-d4a08913b373"
/>
#### Custom Attributes Integration
On the Custom Attributes page, we will surfaced indicators showing how
each attribute is being used.
Each attribute will show badges such as:
- Resolution → used in the required‑on‑resolve workflow
- Pre‑chat form → already existing
<img width="2390" height="1822" alt="CleanShot 2025-12-10 at 11 43
42@2x"
src="https://github.com/user-attachments/assets/b92a6eb7-7f6c-40e6-bf23-6a5310f2d9c5"
/>
#### Admin Flow
- Navigate to Settings → Conversation Workflows.
- Under Required attributes on resolve, click Add Required Attribute.
- Pick from the dropdown list of conversation attributes.
- Save changes.
Agents will now be prompted automatically whenever they resolve.
<img width="2434" height="872" alt="CleanShot 2025-12-10 at 11 44 42@2x"
src="https://github.com/user-attachments/assets/632fc0e5-767c-4a1c-8cf4-ffe3d058d319"
/>
#### NOTES
- The Required Attributes on Resolve modal should only appear when
values are missing.
- Required attributes must block the resolution action until satisfied.
- Bulk‑resolve actions should follow the same rules — any conversation
missing attributes cannot be bulk‑resolved, rest will be resolved, show
a notification that the resolution cannot be done.
- API resolution does not respect the attributes.
---------
Co-authored-by: Sivin Varghese <64252451+iamsivin@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: iamsivin <iamsivin@gmail.com>
Co-authored-by: Pranav <pranav@chatwoot.com>
CSAT scores are helpful, but on their own they rarely tell the full
story. A drop in rating can come from delayed timelines, unclear
expectations, or simple misunderstandings, even when the issue itself
was handled correctly.
Review Notes for CSAT let admins/report manager roles add internal-only
context next to each CSAT response. This makes it easier to interpret
scores properly and focus on patterns and root causes, not just numbers.
<img width="2170" height="1680" alt="image"
src="https://github.com/user-attachments/assets/56df7fab-d0a7-4a94-95b9-e4c459ad33d5"
/>
### Why this matters
* Capture the real context behind individual CSAT ratings
* Clarify whether a low score points to a genuine service issue or a
process gap
* Spot recurring themes across conversations and teams
* Make CSAT reviews more useful for leadership reviews and
retrospectives
### How Review Notes work
**View CSAT responses**
Open the CSAT report to see overall metrics, rating distribution, and
individual responses.
**Add a Review Note**
For any CSAT entry, managers can add a Review Note directly below the
customer’s feedback.
**Document internal insights**
Use Review Notes to capture things like:
* Why a score was lower or higher than expected
* Patterns you are seeing across similar cases
* Observations around communication, timelines, or customer expectations
Review Notes are visible only to administrators and people with report
access only. We may expand visibility to agents in the future based on
feedback. However, customers never see them.
Each note clearly shows who added it and when, making it easy to review
context and changes over time.
