“The import finished, but the totals changed.” You can reply, repair the account and close the conversation. None of that tells the product side whether the state is reproducible, central to the promised job or safe to generalise. Support and research need two connected records—not one overloaded inbox.

The service record serves; the research record learns

Service record

Identity, authorised account context, reply, owner, status and resolution. Access belongs with the people handling the case.

Research record

A short de-identified excerpt when necessary, the attempted job, workflow state, consequence, supporting artefact and decision. Access and retention need their own limits.

Do not make someone wait while you finish taxonomy. Resolve the immediate problem, then create the smallest useful research record. A closed support case does not prove the product problem disappeared; an open case does not prove a roadmap need.

UK Government Digital Service guidance includes support tickets as one research input alongside analytics, usability work and follow-up research. That is a contextual method, not evidence that every ticket is representative of a private SaaS market.

Translate contact into a workflow state

Research fieldKeepDo not copy across by default
Attempted jobWhat the person needed to completeA broad feature tag
StateInput, processing, waiting, completion, handoff, billing or recoveryThe whole conversation history
ConsequenceBlocked work, incorrect output, delay, billing risk or recoverable confusionEmotional tone as a severity score
ArtefactError code, event trace, import report or reproducible state necessary to inspect the claimUnneeded names, addresses, full files or message bodies
FitTarget workflow, supported variation or explicit edge caseAn assumption that every requester represents the same buyer
DecisionInvestigate, clarify, repair, decline or gather more evidence“Build requested feature” as an automatic outcome

Count after classification, not instead of it

Ticket count alone does not establish consequence, cause, workflow centrality or exposure. A single possible billing or data-integrity failure may deserve immediate investigation. Repeated low-consequence questions may point to a copy problem. Several requests from one unsupported workflow may confirm a boundary rather than a roadmap.

Use four questions before frequency: What can go wrong? Does the state interrupt the core job? Is this an intended workflow? Could every eligible account reach the same state? Once tags are stable, volume can add context; it should not erase the underlying record.

Illustrative register — fictional contacts, not PBT tickets

No names, customers, frequencies or outcomes below are observed. The examples exist only to show different decisions.

Fictional contactState and artefactConsequenceSmallest decision
“Did the reminder send?”Post-action state; provider event exists but is not visible in the productThe operator cannot verify current statusSpecify visible recipient, timestamp and failure state before adding another email
“The import finished, but totals changed.”Completion; compare source file, import report and stored resultPossible incorrect outputInvestigate integrity and recovery before documentation work
“Why is the report empty?”Empty result; no eligible rows existRecoverable confusionExplain the empty condition and next check in the interface
“My assistant cannot see the client list.”Permission handoff; role state is inspectableA required operator may be blockedConfirm whether that role belongs in the target workflow before changing access

Phrase → state → artefact → fix

  1. Preserve the shortest necessary phrase, or summarise it when a verbatim is unnecessary.
  2. Locate the exact state: processing, failed, complete with warnings, complete but invisible, or another documented state.
  3. Open the artefact that can confirm or contradict your reading.
  4. Name the consequence without turning frustration into a score.
  5. Choose the smallest evidence-matched change: copy, status visibility, recovery, reliability, support boundary or product work.
  6. Verify the same job and state after the change.

A help article fits when the product state is accurate and durable instruction is missing. It cannot repair an incorrect result, missing state or unsafe recovery path.

Research less data, on purpose

EU GDPR Article 5 includes purpose limitation, data minimisation and storage limitation. ICO guidance explains similar UK GDPR principles. Applicability depends on jurisdiction, role, purpose and the data involved; this is not legal advice or a universal retention policy.

  • Define the research purpose before copying anything from support.
  • Remove direct identifiers and details unnecessary to that purpose. Pseudonymised data may still be personal data.
  • Restrict access to the service and research views separately.
  • Set and review a local retention period; do not borrow a generic number.
  • Do not republish a support quote merely because the name was removed. Purpose, authority and re-identification risk still matter.

Skip sentiment scores, automatic roadmap ranking and deflection targets until the product states and human classifications are stable. A canned “try again” reply is dangerous when another attempt could duplicate work. Automation may route a known state later; it must not turn an uncertain interpretation into fact.

Reduce the contact to a decision record

RecordWhat belongs in it
StateThe exact point where the job stopped or became unclear.
Necessary evidenceOne artefact that can test the interpretation.
ConsequenceWhat was blocked, incorrect, delayed or at risk.
Privacy boundaryWhat can be removed, who needs access and when the record expires.
Smallest decisionInvestigate, clarify, repair, decline or research further.

Decision: take one recent high-consequence contact, create a separate minimised research record and choose the smallest verifiable fix. If the missing state is an outbound message, use the event-to-recipient notification policy next.

Research handling references