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Use Contact Fields and Notes

Store consistent facts in fields, preserve concise human context in notes and keep every value useful, current and appropriate for its purpose.

Quick answer

Choose the storage type before collecting the value

Use a field when information has a defined meaning and may be filtered, updated or reused. Use a note for concise human context that does not fit a structured value. Define ownership, allowed values, update rules and privacy boundaries before the AI Agent, an import or a connected workflow writes data.

1 Define2 Collect3 Confirm4 Reuse5 Maintain
Information design

Choose the right place for each kind of information

Contact fields store consistent facts that can support search, routing, personalization and connected workflows. Notes provide flexible context for a person reviewing the contact.

1 · Field
Defined meaningReusable valueFilter or routing inputExpected format
2 · Note
Customer requested a follow-up after 3:00 PM.
Concern: needs approval from a partner.
Next step: confirm both attendees.
Concise, factual human context
3 · Tag
#
CategoryReusable operational labelFilterGroup related contactsStatusMay change during workflowCoordinationShared team meaning
UseBest forAvoid
Field

Service interest, preferred location, company or an approved qualification answer.

Long narratives, changing categories or several meanings in one value.

Note

A concise exception, promise, concern or human follow-up context.

Copying the entire conversation or storing facts that need consistent reuse.

Tag

Approved categories for workflow, source, audience, status or coordination.

Private detail, unrestricted free text or a value requiring precise formatting.

Keep the conversation as evidence. Fields, notes and tags should help the next authorized person continue the work—not become an uncontrolled duplicate of the message history.
Custom fields

Define the field before anything writes to it

Create and name a field before expecting the AI Agent, an import or a connected workflow to populate it. Stable definitions protect search, routing, personalization and historical meaning.

1Purpose

Why the value is needed

2Name

One stable concept

3Format

Allowed values and type

4Owner

Who maintains it

5Use

Search, route or personalize

Readable label

Use a clear customer- or team-facing name such as Preferred location or Service interest.

Stable technical key

When required, use lowercase letters, numbers and underscores, such as preferred_location.

Duplicate concept

Do not create several fields for the same information merely because different workflows name it differently.

Changed meaning

Do not silently reuse an existing field for a new purpose after values have already been collected.

Document the meaning before launch. Include the expected value, allowed format, source, update rule, owner and every workflow that relies on it.
AI permissions

Allow the AI Agent to update only selected fields

Give an AI Agent permission only for fields it genuinely needs to fulfill the approved conversation objective. Define when a value is known, whether it must be confirmed and what happens when the contact changes an earlier answer.

Purpose

Necessary for the workflow

The value supports qualification, routing, personalization or a defined next action.

Collect with a clear reason
Evidence

Known versus inferred

The customer stated or confirmed the value rather than the Agent guessing from unrelated context.

Define the confidence rule
Change

Customer corrects the value

The update rule preserves the current answer and does not silently retain a superseded value.

Test correction behavior
Boundary

Sensitive information

The Agent does not infer or store sensitive data merely because it appears in a message.

Escalate or omit as approved
Conversation evidenceCustomer states or confirms an approved value
Field updateStore the defined value with the correct meaning and permission
Limit collection to the approved use case. Align the field with the applicable privacy notice, access policy and retention practice before the AI Agent writes to it.
Personalization context

Understand what the AI Agent can use

Depending on configuration, the AI Agent may use approved contact details, fields, notes, tags and recent conversation context to personalize a reply or choose the next step.

Available context

Approved contact information

Current details, defined fields, concise notes, operational tags and relevant recent messages.

Personalized behavior

Use only when reliable

Reference the value when its meaning, freshness, permission and relevance are appropriate for the response.

Context riskWhy it mattersCheck before use
Outdated value

A validly formatted field can still describe an earlier preference or status.

Source, collection time and later customer corrections.

Imported value

Mapping or source quality may not match the current field definition.

Original source, mapping, sample records and allowed values.

Free-text note

Human context can contain assumptions, excessive detail or information outside scope.

Factual wording, relevance, access and retention need.

Conflicting context

Two values or messages can point to different current answers.

Clarify with the contact or route to a person before acting.

Format is not freshness. Review old and imported values before relying on them for personalization, routing or an external action.
Bulk imports

Define, sample and verify before processing the file

Create every field definition before importing values. Then test a small synthetic sample, confirm the mapping and only process the approved source file after the result is correct.

1Define

Fields and allowed values

2Map

Source column to field

3Sample

Small synthetic test

4Verify

Records and value meaning

5Process

Approved protected file

CheckConfirmPrevent
Headers

Each source column maps to the intended defined field.

A similar name writing values into the wrong concept.

Format

Dates, numbers, choices and text follow the accepted value rule.

Broken filters, empty values and inconsistent categories.

Identity

The matching rule updates the intended contact or creates the approved new record.

Duplicates, merges or updates to the wrong person.

Privacy

The source, access, purpose and retention practice are approved.

Unnecessary copies or values outside the use case.

Protect the source file. Limit access, verify the completed import and remove unnecessary working copies according to the approved data practice.
Message variables

Design a safe fallback for every field used in a message

When an approved message template uses a contact field, test records where the value exists, is missing, is outdated and contains an unexpected format.

Value present

The message displays the correct current value in natural wording and the intended place.

Value missing

A defined fallback removes or replaces the variable without showing an empty or broken placeholder.

Value outdated

The workflow confirms or refreshes time-sensitive information before using it.

Unexpected format

The message avoids exposing raw technical values, codes or malformed content.

Field valuePresent, current and appropriate for the message
Rendered messageReadable text with a safe missing-value fallback
Test the rendered message—not only the template editor. Use representative contacts and confirm the final channel output before relying on the variable in normal traffic.
Maintenance

Keep important fields understandable and current

Assign an owner for every field that affects routing, personalization, qualification or a connected workflow. Review definitions and values on a schedule that matches their business impact and rate of change.

ReviewLook forControlled action
Definitions

Unclear purpose, undocumented values or changed business meaning.

Clarify the existing definition before adding another field.

Duplicates

Several fields that represent the same concept with different names.

Choose the canonical field and plan a verified consolidation.

Stale values

Old preferences, statuses, locations or qualification answers.

Refresh, confirm or stop using the value until it is reliable.

Dependencies

Messages, routing, imports or connected workflows that rely on the field.

Test every affected path before changing name, format or meaning.

Field is no longer needed

Review dependencies before removal

Confirm that no approved message, route, import, Agent instruction or connected workflow still relies on it.

Value behaves like a category

Consider an approved tag

A reusable label that changes during the conversation lifecycle may be easier to manage as a tag.

Privacy and access

Collect only what the workflow needs

A text box is not permission to store information. Limit fields and notes to approved, relevant data that authorized people and workflows genuinely need.

  1. Define the purpose.Know why the information is collected and which approved outcome it supports.
  2. Use the narrowest data.Avoid inferring or storing sensitive details that are not required for the use case.
  3. Control access.Limit who and which connected workflows can read or update the value.
  4. Keep notes factual.Record concise operational context rather than speculation, judgment or an unnecessary transcript copy.
  5. Protect transfers and exports.Use approved files, recipients and storage practices for imports, downloads and connected systems.
  6. Review retention.Remove unnecessary working copies and stale information according to the approved data practice.
Never place credentials in a field or note. Remove unnecessary private customer information from support requests, working files and operational context.
Troubleshooting

Resolve common field and note problems

Field cannot be selected

Confirm the definition and access

Verify that the field exists in the account, uses the expected key and is available to the relevant person, Agent or workflow.

AI Agent stores the wrong value

Inspect meaning and confirmation rules

Check allowed values, required customer confirmation, correction behavior and the selected field permission.

Imported values appear in the wrong place

Stop and verify the mapping

Preserve the source headers and sample records, then correct the mapping before processing another file.

Message shows an empty placeholder

Add a safe fallback

Test the template with a present, missing and unexpected value, then confirm the rendered channel message.

Preserve evidence before changing a field. Record its definition, technical key, affected records, dependent workflows and representative examples so the correction can be tested safely.
Common questions

Contact fields and notes questions

When should I use a field instead of a note?

Use a field when the value has a defined meaning and may be filtered, updated, personalized or reused by another workflow. Use a note for concise human context that does not fit a structured value.

Can the AI Agent update every contact field?

It should have permission only for fields required by the approved use case. Define when the value is known, whether confirmation is required and how a corrected answer replaces the earlier one.

Can a correctly formatted field still be wrong?

Yes. The value may be outdated, imported under an earlier definition or contradicted by a newer customer message. Check freshness and source before relying on it.

Should notes contain the entire conversation?

No. Keep the conversation as evidence and use notes for concise, factual context that helps the next authorized person understand an exception, concern, promise or next action.

What should happen when a message variable has no value?

Use a tested fallback that removes or replaces the variable naturally. The customer should never see an empty, raw or broken placeholder.

Need contact-data help?

Send the field definition and expected use

Include the ConvoRev account, readable label, technical key when relevant, expected value, source, permitted updater, affected workflow and a synthetic example. Remove credentials and unnecessary private customer information.

Email ConvoRev support