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HelpoSoft 3.12.2 Cumulative recovery restores the complete Cloud marketing dependency chain and protects mixed-version upgrades. Release notes
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Products, integrations, guidance and enterprise assurance.

Operational intelligence Available

Understand service performance without exporting every conversation.

Measure support volume, responsiveness, SLA performance, customer feedback, agent quality, AI usage and staffing needs from workspace-isolated dashboards.

Reporting is available for data collected by the installed deployment. Definitions and demo data must be distinguished from production results.

Best for: Support leaders who need reliable operational reporting and coaching workflows.

Interface preview · demo workspace
Analytics & QualityOperational view
AvailabilityAvailable
PlatformHelpoSoft Cloud
Production ruleVerify configuration before rollout
TransparencyView product status
Core workflow

Designed around the outcome, not a checkbox.

Each capability should have a clear owner, test path and customer-safe failure behavior before production expansion.

1

Performance dashboards

Track tickets, chats, first response, resolution, SLA compliance and channel volume.

2

Quality assurance

Build weighted review scorecards, critical-failure rules and coaching plans.

3

Workforce planning

Forecast hourly demand, schedule shifts and identify coverage gaps.

4

Scheduled exports

Generate private CSV or JSON reports through the background queue.

Enterprise use cases

Three ways Analytics & Quality becomes accountable work.

These scenarios describe operating patterns—not invented customer results. Validate them against your channels, roles and Cloud configuration.

01

Daily operations review

Surface backlog, unassigned work, SLA risk and channel demand for immediate action.

A shared operating picture instead of disconnected exports.
02

Quality calibration

Review sampled conversations against consistent criteria and compare coaching themes.

More defensible quality decisions across reviewers and teams.
03

AI performance review

Separate automatic, assisted and human outcomes by topic, cost and correction signals.

A realistic view of where automation helps or creates risk.
Production readiness

Prove the workflow before expanding it.

Enterprise readiness comes from repeatable evidence: correct access, correct state, safe failure and a named operational owner.

Review security controls
Before configuration

Prerequisites

  • Agreed metric definitions and timezone
  • Reliable channel and assignment data
  • Quality sampling policy
  • Access rules for agent-level reporting
Before production

Evidence to verify

Metric reconciliation

Compare a sampled dashboard number to the underlying records.

Filter consistency

Verify site, channel, team and date filters use the intended scope.

Demo separation

Confirm demonstration workspaces are visibly labeled and excluded from production claims.

Implementation path

Move from configuration to a production-ready workflow.

Introduce the capability in controlled steps, verify ownership and delivery, then measure the result.

1

Choose reporting period

Start with the minimum configuration and access required for a safe test.

2

Review queue and SLA trends

Validate the step with real support examples and documented ownership.

3

Sample conversations for QA

Validate the step with real support examples and documented ownership.

4

Create coaching actions

Validate the step with real support examples and documented ownership.

5

Schedule recurring reports

Review outcomes, feedback and operational gaps before expanding.

Capability breakdown

Everything agents and managers need around the workflow.

Feature availability and limits depend on the current Cloud release, configuration, provider eligibility and commercial entitlement.

Agent scorecards
CSAT and NPS trends
AI resolution and cost reporting
Hourly workload distribution
QA templates and reviews
Coaching plans
Staffing forecasts
Data retention and exports
Operating evidence

Measure the workflow without inventing success.

Use production definitions, exclude demo workspaces and reconcile sampled metrics to the underlying support records.

Ticket volumeDefine owner, calculation and review cadence
First responseDefine owner, calculation and review cadence
Resolution timeDefine owner, calculation and review cadence
SLA complianceDefine owner, calculation and review cadence
QA scoreDefine owner, calculation and review cadence
AI cost and correction rateDefine owner, calculation and review cadence
Cloud responsibility

One managed platform with three accountable layers.

Separate HelpoSoft Cloud operations, customer configuration and connected-provider responsibilities before production rollout.

Operating responsibility

Managed cloud platform

HelpoSoft operates the contracted application environment, release process, platform monitoring and service restoration procedures.

Review responsibilities
Operating responsibility

Customer configuration

Your organization controls users, roles, channels, knowledge, automation, AI policy, retention choices and lawful use.

Review responsibilities
Operating responsibility

Connected providers

Email, messaging, AI, voice, CRM and billing providers retain their own eligibility, pricing, retention and availability responsibilities.

Review responsibilities
Connected systems

Relevant integrations

Check availability, permissions, data flow and provider dependencies before connecting production accounts.

Implementation guidance

Related guides

Use practical setup and governance material instead of relying on a feature list alone.

Known boundaries

What this capability does not remove.

Provider rules, Cloud configuration, identity decisions and team policy remain real responsibilities.

1

Metrics cannot repair missing or inconsistent source data.

2

Agent-level reporting should be used with clear governance.

3

Small samples can produce misleading comparisons.

Launch governance

Production approval checklist.

Use evidence from a controlled workspace before expanding customer-impacting behavior.

Confirm workspace roles and least-privilege access for every person who can configure or operate this capability.
Test normal, duplicate, delayed, failed and unauthorized scenarios in a non-production workspace.
Document the customer-visible fallback when the capability or a connected provider is unavailable.
Assign an operational owner, review cadence and measurable acceptance criteria before launch.
Verify retention, export, deletion and audit requirements for the data used by this workflow.
Procurement review

Questions buyers should resolve.

Commercial entitlement, provider dependency and operating responsibility should be explicit before purchase.

1

Which plan entitlement and usage limits apply to this capability?

2

Which HelpoSoft Cloud controls are included and which settings remain customer-owned?

3

Which connected providers, credentials, regions and external charges are required?

4

What evidence can be supplied for access, delivery, failure handling, recovery and change history?

Product FAQ

Questions about Analytics & Quality.

No. Analytics queries and exports remain scoped to the authenticated workspace.

Yes. Daily, weekly and monthly CSV or JSON reports can be generated by background workers.

It can estimate future hourly volume from historical support patterns and compare it with scheduled shifts.
Enterprise evaluation pathContinue from page content to verifiable Cloud controls.
Product statusIntegration statusTrust CenterSecurity questionnaire
One customer support workspace

Bring every support conversation into one intelligent, accountable operation.

Start with live chat and tickets. Add AI, messaging, multi-site control and service operations when your team is ready.