A support case belongs on the same record as the sales conversation, the renewal pipeline, and the account health score. Strkr case management runs on the account record, with SLA, escalation, and resolution tracking as native workflows.
The split between CRM and help desk is a common operational wound. Sales lives in the CRM. Support lives in Zendesk or Freshdesk. The two systems share a customer identifier at best and nothing at worst. The CSM reviewing the renewal pipeline sees no open cases. The support agent working the case sees no deal context. The account manager coaching a client never knows what the support team is wrestling with. Here is the list of what breaks when case management is a separate tool.
The customer success manager reviews their book on Monday morning in the CRM. They do not see that the account has 4 open P2 support cases in Zendesk because Zendesk is a separate tool. The weekly book review runs on partial context. The CSM misses the churn signal that the support thread would have surfaced.
A $400K-ARR enterprise customer files a support case. The support agent sees the ticket, the customer name, and the attached email thread. They do not see the ARR, the renewal date, the exec sponsor, or the active expansion opportunity. They respond as if to any case. The response is correct but the prioritization is not.
A P1 case breaches the 4-hour first-response SLA. The alert fires in Zendesk. The CSM, the AE, and the exec sponsor never see it because they do not log into Zendesk. The customer escalates and the sales team is caught unaware. The signal that would have triggered a save landed in the wrong system.
The support agent spends 25 minutes figuring out the product configuration that caused the issue. The resolution notes capture the solution. The customer renews a year later and the same issue happens. The new support agent reinvents the solution because the notes live in Zendesk and the account team never saw them. The organizational memory leaks.
An AE prepares an expansion pitch for a $200K upsell. The account has 8 open P2 cases, a P1 that breached SLA, and the exec sponsor sent a direct email expressing frustration. None of this surfaces on the CRM record. The AE sends the expansion pitch. The customer responds with the frustrated email. The deal collapses. The signal was there; the system did not surface it.
The leadership team reviews account health, pipeline, and support volume in three separate reports from three separate tools. The correlation between support case trend and churn trend is impossible to see because the datasets never join. The strategic question "which accounts are at risk and why" takes a 2-week data engineering project to answer.
Strkr case management is a native module that lives on the account record. A support case has severity, SLA, assigned owner, resolution notes, customer satisfaction follow-up, and a full audit trail. The case appears alongside the opportunity history, the activity log, and the renewal pipeline. Here is the feature set.
Each case carries subject, description, severity (P1 through P4), category, affected product, assigned owner, status, SLA policy, SLA remaining, first-response time, resolution time, resolution notes, and customer satisfaction score. The case links to the contact (requester) and the account. The record is a first-class object, not a side ticket.
The case queue shows every open case sorted by SLA remaining with severity color-coding. Agents work from the top. Filters by owner, by severity, by category, by account tier. The queue is the operating surface for support, same shape as a pipeline view for sales.
SLA policies apply by customer tier (Enterprise, Mid-market, SMB) and severity. Enterprise P1 might be 1-hour first response and 4-hour resolution target. SMB P4 might be 24-hour first response and 72-hour resolution target. Business hours apply per policy. The SLA clock pauses on customer-blocked status. The policies are configurable per tenant.
An inbound case routes by category (billing, technical, feature request), customer tier, and current agent load. Rules fire on arrival: a P1 technical case for an Enterprise customer routes to Tier 2 engineering with the exec sponsor copied. A billing question routes to the billing specialist. The agent does not triage; the routing does.
If a P1 case stays open past the first-response SLA, Strkr fires an escalation notification to the support manager, the account owner, and the CSM. If still open at 2x SLA, the escalation reaches the VP of Support and the AE. The chain prevents the customer-escalates-to-sales pattern because the system already escalated internally.
Strkr Docs holds the knowledge base: product configurations, common issues, resolution playbooks, troubleshooting guides. Agents reference the KB during case work. Resolution notes feed KB updates. The KB is on the same instance as the CRM, so the KB article references the product or SKU rather than a disconnected taxonomy.
On case close, Strkr fires the CSAT survey (NPS, satisfaction score, open feedback). The score lands on the case and rolls up to agent-level and account-level dashboards. Low scores trigger a review workflow. The customer feedback informs training and product priorities.
Every case appears on the account record alongside the sales history, the renewal pipeline, and the activity log. The AE preparing an expansion pitch sees that the account has 4 open P2 cases. The CSM reviewing the book on Monday sees the case trend. The exec sponsor making a strategic call has full context.
For field service businesses, a case can escalate to a dispatched work order. The field technician receives the mobile notification with the customer address, the case summary, and the parts list. The technician arrives, resolves, and the case closes with the on-site resolution notes. The CRM carries the end-to-end service.
Strkr case management fits most B2B service motions well. For some use cases (very high-volume consumer support, specialty IT service management with ITIL depth, complex contact-center omnichannel routing), the specialized tools remain stronger. Here is the honest fit guide so the evaluation is specific.
The sweet spot: a B2B SaaS, services, or product company receiving 50 to 500 support cases per week across email, in-app, and phone channels. The case volume is manageable, the account context matters, and the integration with sales is high-value. Strkr case management fits this profile cleanly on the included-with-platform pricing.
Account management teams handling 200 to 2000 cases per week across a mix of billing, product, and relationship issues. The account context is the central feature. The CSMs see the cases on the renewal pipeline. The AMs route cases to the right specialist without leaving the account record.
Field service businesses dispatching 20 to 200 technician visits per day. The case-to-work-order flow runs natively. The technician mobile experience with offline sync works. The customer sees the technician ETA on a tracked link. The field service motion runs on the CRM instead of a separate FSM tool.
For teams in the 500 to 2000 cases per week range, Strkr case management handles the volume but may need some workflow tuning. The queue management, SLA tracking, and automated routing scale. The reporting is sufficient for most needs. For specialty queueing (skill-based routing with complex matrix rules), Zendesk Enterprise still has an edge.
For consumer-scale support with 10,000 plus cases per week across chat, email, phone, social, and specialty channels, a dedicated help desk (Zendesk Enterprise, Intercom, Freshdesk Pro) remains the better choice. The scale, the omnichannel depth, and the specialty consumer-support features are purpose-built. Strkr integrates with these for the account-record overlay without replacing.
For internal IT teams running ITIL (Information Technology Infrastructure Library) with the full change management, problem management, incident management, and asset management disciplines, ServiceNow and similar specialty platforms are built for exactly that shape. Strkr case management handles basic IT support but does not pretend to be ITIL-complete.
For contact centers with 50 plus agents, specialized ACD (automatic call distributor) routing, workforce management, and real-time dashboarding needs, platforms like Five9, Genesys Cloud, or Talkdesk are purpose-built. Strkr Messaging handles mid-complexity call routing; it does not replicate the contact-center-grade capabilities.
For teams where the specialty tool is the right choice, Strkr integrates to bring case summary data onto the account record. The CSM sees the open case count and the recent case titles on the account. The agent in the specialty tool sees the account ARR and renewal date through the Strkr sidebar. The two systems share identity without one replacing the other.
A support case runs through a lifecycle: creation, triage, assignment, work, resolution, close, customer satisfaction. Each step is a workflow in Strkr. Here is the detailed lifecycle for the common case types.
A case lands from email (customer emails the support alias, Strkr parses and creates the case), in-app (customer clicks the support widget in your product), phone (an inbound call creates a case), or portal (customer submits through the customer portal). The channel captures as metadata. The requester attaches to the contact and the account.
On arrival, Strkr auto-assigns severity based on the subject keywords, the customer tier, and the configured rules. P1 for "down" from an Enterprise customer. P2 for "cannot login" from a Mid-market. P3 for "how do I" from any tier. The triage is auto in 85 percent of cases; manual override on the edge cases.
The routing rules fire: category plus customer tier plus current load. The case lands with the agent most likely to resolve. The agent receives a notification on desktop and mobile. The SLA clock starts. For Enterprise P1 cases, the account owner and the CSM get copied.
The agent reads the case detail, reviews the account history, checks the knowledge base, and responds. Each response logs to the case thread. Status progresses: New, In Progress, Waiting on Customer, Waiting on Engineering, Resolved. The waiting-on-customer status pauses the SLA clock.
When resolved, the agent writes structured resolution notes: the root cause, the fix, the customer-facing explanation, and the KB-article reference. The notes feed future case work. If a KB article does not exist for the issue, a KB-draft task fires to the KB owner.
The customer-facing resolution confirms the fix and asks for CSAT. The survey lands via email with a 1-click scale (1 to 5 or NPS). The response lands on the case. Scores below threshold trigger a review workflow. The score rolls up to agent-level and account-level dashboards.
A CSAT score of 1 or 2 fires a notification to the support manager with the case detail. The manager reviews within the hour, reaches out to the customer, and runs the recovery conversation. Low-CSAT recovery conversations recover 60 to 80 percent of the detractor sentiment in most teams.
Weekly dashboards show case volume by category, by product area, by customer tier. The top category (percentage of all cases) tells the product team where to invest. The customer-tier breakdown tells the sales team which tiers are high-touch. The data drives the operating conversation.
The case object is flexible, but each industry has specific patterns. The B2B SaaS support case looks different from the field-service dispatch which looks different from the healthcare patient inquiry. Here are the industry patterns.
B2B SaaS cases cluster into product bugs, login or authentication issues, feature requests, and billing questions. The Strkr configuration captures the affected product (which SKU, which module), the browser or environment, the reproduction steps. Engineering connects to the case through Jira integration for bug-to-fix tracking.
Services cases are often about deliverable quality, scope ambiguity, or team dynamics. The Strkr configuration captures the engagement, the deliverable, the issue type. The account manager and the delivery lead both see the case. Resolution often involves scope clarification or team reassignment.
Field service cases start with equipment downtime at the customer site. The case captures equipment model, serial number, symptoms, customer address. Dispatch routes to the technician on the service area. The technician arrives, resolves, and closes the case with on-site resolution notes and parts used.
Healthcare patient inquiries carry HIPAA posture. The case holds patient reference, inquiry type, PHI-safe handling. The front-desk coordinator or the clinical team member responds through the HIPAA-correct channel (secure portal, phone with consent, email with disclosures). Audit log retention per HIPAA Security Rule applies.
Insurance support cases link to the policy record and often to a claim. The case captures the policy number, the claim reference, the customer frustration or question. The producer and the claims specialist both see the case. The customer gets a resolution tied to the policy and the claim context.
Accounting-firm support cases tie to specific engagements (tax return question, bookkeeping transaction question, payroll run concern). The case captures the engagement reference. The partner-in-charge sees the case alongside the engagement history. The resolution often becomes a change-order or an engagement-letter clarification.
Real estate cases tie to a listing or transaction. Buyer concerns, seller concerns, inspection issues, financing hiccups. The agent and the transaction coordinator both see the case. Resolution timelines align with the escrow or closing deadlines.
A support operation runs on measurable metrics. The common ones are first-response time, resolution time, SLA attainment, CSAT, case volume trend, and agent productivity. Strkr tracks each as a standing dashboard. Here is the metric set and what it drives.
First response time measures the gap between case creation and the first substantive agent response (not an auto-ack). Target varies by severity and customer tier. Enterprise P1: under 1 hour. Mid-market P2: under 4 hours. SMB P4: under 24 hours. First-response time correlates strongly with CSAT; a 30-minute first response often earns a 5-star CSAT regardless of resolution time.
Resolution time measures case creation to case close (status Resolved and Customer confirmed). Business-hours tracking by default; 24-hour tracking for P1. Resolution time varies widely by case category. The target is a trend improvement, not an absolute number. Weekly reporting flags categories where resolution time is slipping.
For each SLA policy, the attainment percentage shows how many cases met the first-response and resolution targets. Enterprise target: 95 percent plus attainment. Mid-market: 90 percent plus. SMB: 85 percent plus. SLA attainment is a contractual commitment for enterprise customers and a performance metric for all.
CSAT scores on closed cases roll up by agent, by category, and by account. Target: 4.5 of 5 or above for most B2B SaaS and services teams. Dips below target trigger coaching workflows. Specific low-score cases trigger the recovery workflow. The rolling average is a standing dashboard metric.
Weekly case volume by category tells the product and the support teams which issues are growing. A sudden spike in "login" cases signals an auth system issue. A sustained climb in "billing" cases signals a billing-system usability gap. The trend informs weekly operating decisions.
Agent productivity measures cases resolved per agent per day, weighted by complexity (P1 counts for 4, P2 for 2, P3 for 1, P4 for 0.5). The weighted metric prevents gaming by closing easy cases. Agents consistently above the median get coaching recognition; agents below get coaching support.
Deflection measures the number of KB-article views and self-service portal interactions that prevent a case creation. For every 20 to 40 KB views on a given topic, roughly 1 case is deflected. The KB investment pays back in deflection, measured as the ratio of KB views to case volume on each category.
Reopen rate measures cases that close and reopen within 30 days. High reopen rates indicate incomplete resolutions. Target: under 5 percent reopen rate. Reopen rate rolling up by agent and by category informs training and process improvement.
A standalone help desk (Zendesk, Freshdesk, Help Scout) handles cases well. The gap is the integration with the account record. Here is the honest side by side.
| Feature | Strkr | Standalone help desk (Zendesk, Freshdesk) |
|---|---|---|
| Case object | Native case with severity, SLA, resolution notes | Native case object, specialty depth higher |
| Case on account record | Case appears alongside sales history and renewal pipeline | Case lives in help desk, syncs to CRM via connector |
| CSM visibility | Open cases visible on weekly book review | CSM switches tools or runs a parallel dashboard |
| Case-driven expansion risk | High case volume flags on expansion pipeline | Expansion pitch runs blind to open cases |
| SLA policies | Native per customer tier and severity | Native, specialty depth higher |
| Escalation chains | Native, reaches support manager, CSM, AE | Native inside the help desk; cross-tool escalation requires integration |
| Knowledge base | Native in Strkr Docs, references same product data | Native, specialty depth and theming higher |
| Omnichannel | Email, in-app, phone, portal (mid-complexity) | Email, chat, phone, social, SMS, portal (high-complexity ready) |
| Pricing | Included in Strkr per-seat | $19 to $115 per agent per month separate |
| Mobile | Native mobile app with case queue | Native mobile app, varies by vendor |
| Fit for 50 to 500 cases per week | Strong fit | Strong fit |
| Fit for 10,000 plus cases per week | Specialty tool recommended for scale | Purpose-built for consumer scale |
Five customer patterns running case management on Strkr with the intervention and the measured outcome. Each is a real operating pattern.
A 42-user B2B SaaS team moved from Zendesk to Strkr case management. In the first month, 4 at-risk accounts surfaced on the CSM book review that would have been invisible in Zendesk (open P2 case trend plus support thread sentiment). All 4 renewed after proactive outreach. The move paid back the full year of Strkr before month six.
A 32-user services agency ran deliverable-quality cases on Strkr tied to specific engagement records. The delivery lead saw the case alongside the engagement scope. The AM saw the case on the account record. Resolution time dropped from 4.2 days average to 1.8 days because the context was shared from the first message.
A 55-technician field service company dispatched 85 service calls per day. The inbound call creates a case; the case escalates to a dispatched work order; the technician receives the mobile notification with address and summary. Time from call to on-site arrival dropped from 94 minutes to 61 minutes average after the native case module replaced the separate dispatch tool.
A 28-producer insurance brokerage ran claim support cases on Strkr tied to policy records. The producer saw the case alongside the policy and the claim history. CSAT climbed from 3.8 to 4.4 of 5 after moving from a shared inbox to native case management, driven by the account-context visibility during the resolution conversation.
A 24-staff multi-location clinic ran patient inquiries on Strkr with HIPAA posture. Each inquiry tied to a patient record. Response times improved from 18 hours average to 6 hours average. Audit trail retention met state medical-record rules. The compliance officer saw the audit report in minutes rather than days.
Start a 14-day trial with case management on from day one. SLA policies, escalation chains, CSAT, and the knowledge base all included. Flat per-seat pricing with the full product on every paid tier.
The sweet spot is 50 to 500 cases per week across a B2B service motion. Below 50 cases per week, the case module is useful but light. From 50 to 2000 cases per week, Strkr case management is a strong fit with the integration advantage over standalone help desks. Above 10,000 cases per week (consumer-scale), a dedicated help desk like Zendesk Enterprise or Intercom remains the better choice for the specialty omnichannel features and the scale. Field service dispatching 20 to 200 per day is a strong fit regardless of total case volume.
Specialty help desks like Zendesk and Freshdesk have deeper omnichannel depth (chat, social, SMS, specialty widgets), more sophisticated routing (skill-based matrices, complex workflow rules), and consumer-scale handling (10,000 plus cases per week). Strkr case management wins on the integration with the account record: cases appear alongside sales history, renewal pipeline, and account health scoring. For B2B service motions where account context matters more than consumer-scale depth, Strkr is the better fit at a lower TCO.
Yes. The migration tool imports accounts, contacts, cases (with history), SLAs, custom fields, macros (equivalent in Strkr are Flow templates), knowledge-base articles, and CSAT scores. Open cases migrate with their status, SLA remaining, and assigned owner. Historical cases import for continuity. A typical mid-market migration (10K to 50K historical cases) runs over a focused weekend with validation during the following week. Zendesk and Freshdesk stay read-only during the first 30 days as a safety net.
Cases that require a longer resolution path (feature request, enterprise custom work, product bug requiring engineering fix) can escalate from a case to a Projects task or epic. The case links to the project item. The CSM sees both. The engineering team works the project; the customer-facing case stays open with status updates. When the project resolves, the case closes. The link preserves the context across the long resolution cycle.
SLA policies apply by customer tier and severity. A policy has first-response SLA (time to agent engagement, not auto-ack) and resolution SLA (time to case close). Business-hours tracking by default; 24-hour tracking for Enterprise P1. SLA clock pauses on Waiting on Customer status. SLA policies are configurable: tier definitions, severity definitions, time thresholds, business hours, escalation chains. The configuration is a visual admin surface, not a scripting language.
Yes. Strkr is HIPAA compliant with a Business Associate Agreement available. For healthcare clinics, hospitals, and health-services operators running patient inquiry cases, the HIPAA posture includes TLS encryption in transit, AES-256 encryption at rest, audit logs on every case access, least-privilege role-based access, and field-level permissions. State medical-record retention rules apply via the retention automation. The compliance officer gets a defensible audit trail without separate posture tools.
Strkr case management is included in the Strkr per-seat subscription. There is no separate "Service Hub" or "Service Cloud" SKU. The per-seat price covers CRM, Marketing, Projects, Docs, Flows, Products module, Forecast, and case management on every paid tier. For teams moving off a dedicated help desk, the Strkr case module replaces the $19 to $115 per agent per month Zendesk or Freshdesk line without a separate charge. The TCO advantage is largest for teams running 50 to 500 cases per week in a B2B context.
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