Built for inbound and outbound contact center operations
Call center ops runs on 4 metrics. A CRM that cannot read them is just phone notes.
Contact center operations runs on first-call resolution, average handle time, service level, and quality score. Horizontal CRMs capture perhaps the call log and the ticket. Dedicated call-center platforms (NICE, Genesys, Five9) cost 180 to 320 dollars per seat for the full workforce stack. Strkr sits in the middle with native WFM hooks, scorecard scoring, and the ops-metric reporting a 300-seat center needs.
Rohit runs a 85-seat BPO in Pune handling customer service for 3 US retail brands. Mireille runs in-house customer service at a mid-market insurance company with 42 CSRs on the phones and 11 on chat. Both of them tell the same story: the dialer and the ticketing tool handle the real-time piece, but the CRM for the agent-to-customer context is thin, the quality assurance scoring sits in a spreadsheet, and the workforce management forecast is a weekly meeting with a different vendor. The six items below are the recurring frictions on contact-center CRM evaluations.
The 4-metric blind spot
FCR, AHT, service level, quality score.
Contact-center ops runs on first-call resolution (FCR), average handle time (AHT), service level (SL), and quality score (QA). Each metric drives agent coaching, forecasting, and client reporting. Most CRMs capture the call log and the ticket; the 4 ops metrics live in the dialer system, the WFM tool, the QA spreadsheet, and the reporting warehouse. Rohit's weekly client report pulled from 5 systems. Strkr consolidates the 4 metrics with native fields.
The QA scorecard spreadsheet
Quality assurance scoring lives in Excel.
Most contact centers run quality assurance (random call sampling, scorecard against defined criteria, agent coaching from scores) in a shared Excel sheet. The QA analyst scores 4 to 8 calls per agent per month. The spreadsheet becomes the authority. Trends get lost. Strkr's QA scorecard engine captures the scoring in a structured record with per-criterion scoring, agent-level trend reporting, and the coaching-note tie-back to the agent.
Workforce management disconnect
The WFM forecast and the CRM reality.
Workforce management (WFM) tools (NICE IEX, Verint, Alvaria, Calabrio) handle the forecast-and-schedule side of ops. The CRM carries the live contact volume and agent-level actuals. The two sides agree on paper and disagree in practice because the data lives in different systems. Strkr's WFM-adjacent reporting exports to the common WFM tools and reads actuals back so the forecast runs on current signal rather than yesterday's batch.
Supervisor floor view
The real-time floor the supervisor actually watches.
A supervisor on the floor watches agent status (available, in-call, after-call-work, break, offline), service level by queue, longest-waiting-caller count, abandon rate trending, and the agents in long handle times. The dedicated call-center platforms (Genesys, NICE, Five9) ship a native floor view. Most CRMs do not. Strkr's supervisor floor view ships the real-time surface a 300-seat center supervisor actually looks at every 90 seconds.
Agent-level coaching
The weekly coaching, with the call.
Agent-level coaching runs on call evidence (this call had an AHT of 11 minutes against the queue average of 4; this call had a quality score of 68 against the agent average of 84). Most contact centers have the data but not the surface that pairs the call with the agent coaching conversation. Strkr's agent coaching surface pulls the calls with the scores for the weekly supervisor-agent 1:1.
Multi-tenant BPO complexity
A BPO runs for 3 brands with 3 scorecards.
A BPO like Rohit's runs for 3 or 5 or 12 end clients, each with its own quality criteria, its own reporting cadence, its own SLA definitions, and its own authentication rules. Horizontal CRMs do not model multi-tenant client separation cleanly. Dedicated call-center platforms do but add setup complexity. Strkr's multi-tenant BPO support ships per-end-client workspaces with the right scorecard, the right reporting, and the right isolation per client contract.
What a call center CRM should ship
The ops primitives, done right.
Contact center operations runs on specific metrics and specific workflows. The cards below are the capabilities Strkr's call-center configuration ships for inbound, outbound, and blended operations from 20 to 500 seats.
The 4 ops metrics native
FCR, AHT, service level, quality score on every surface.
First-call resolution tags per interaction with the disposition driving the FCR calculation (resolved, resolved on callback, escalated, unresolved). Average handle time captures per-call with the breakdown (talk time, hold time, after-call-work time). Service level tracks per queue with the standard definition (percent of calls answered within target seconds). Quality score aggregates from the QA scorecard records. The 4 metrics appear on every surface: agent, supervisor, client report, executive dashboard.
QA scorecard engine
Structured scoring with per-criterion weighting.
Scorecard templates per queue or per client. Each scorecard carries criteria (greeting, verification, discovery, resolution, close, compliance) with per-criterion weighting and scoring rubric. QA analysts sample calls, score against the criteria, and attach the audio or transcript. Agent-level trend reporting rolls up the scores by criterion to surface specific coaching opportunities. Rohit's QA team scored 580 calls in month 1 on Strkr against the prior process of 320 in Excel, which exposed specific agent-skill gaps that had been hiding in the average.
Supervisor floor view
Real-time agent status, service level, longest-waiting.
The supervisor opens the floor view and sees agent status by state (available, in-call, after-call-work, break, offline), service level by queue with the current percent against target, longest-waiting-caller count by queue, abandon rate trending for the current hour, and the agents in long handle times (above queue AHT target by threshold). The floor view auto-refreshes every 5 seconds. The alternative (switching between the dialer platform, the ticketing tool, and the CRM) adds 30 to 90 seconds to every supervisor intervention.
Agent desktop
The agent screen that does not require 3 monitors.
The agent desktop surfaces the customer identity (from caller-ID lookup or IVR authentication), the prior interaction history, the open ticket or case, the recommended next-action per Strkr AI, and the active scripting or decision tree where applicable. The 3-monitor pattern (CRM, dialer, knowledge base) collapses to 1 or 2 monitors. Mireille's insurance CSRs cut after-call-work time by roughly 22 percent after moving to the consolidated agent desktop.
WFM integration
Native export to NICE, Verint, Alvaria, Calabrio.
Strkr exports the agent-level actuals (schedule adherence, agent state time, handle time, after-call-work time) to the WFM tool in the format the WFM tool expects. WFM imports schedules back to the Strkr agent desktop so the agent sees the next scheduled break on their own screen. Forecast error analysis runs with the actual contact volume from Strkr feeding back to the WFM forecast model.
Multi-tenant BPO
Per-end-client workspaces with the right scorecard.
A BPO running for multiple end clients configures per-end-client workspaces with the right scorecard, the right queue definitions, the right SLA, the right reporting cadence, and the right data isolation per contract. Agents working across clients see the right context per interaction based on the queue they are serving. Reports export per end client in the format the client contract requires.
Compliance recording
PCI, HIPAA, and TCPA compliance baked in.
Call recording with PCI-redaction for payment information, HIPAA-compliant handling for healthcare interactions (BAA available on request), and TCPA compliance for outbound dialing. Consent management captures per-contact consent for marketing calls, recording, and SMS with the per-state nuance (TCPA plus state-level additions like Florida Mini-TCPA and Oklahoma Mini-TCPA). The compliance evidence retains with the interaction record for regulator-request response.
Strkr AI call summarization
After-call-work time cut by 60 percent.
Strkr AI generates the call summary from the recorded or transcribed call: customer identity, reason for contact, resolution steps, agent commitment, follow-up required. The agent reviews and submits rather than typing from scratch. After-call-work time drops from 2 to 4 minutes to 30 to 90 seconds per interaction. Rohit's floor saved roughly 11 agent-FTE equivalents of after-call-work time in month 1.
Flat per-seat pricing
The license line is 1 number.
Flat per-seat pricing with the full product. No per-interaction meter. No scorecard-module gate. No workforce-management-connector tier bump. A 300-seat contact center pays 300 seats. A 85-seat BPO pays 85. The invoice is predictable 24 months out, which is a operational benefit versus Genesys or NICE pricing that stacks license plus connect-time plus module add-ons plus professional services.
The ops cadence in detail
How a contact center runs each day.
A contact center runs a daily cadence: pre-shift huddle, intra-day monitoring, agent coaching, end-of-day wrap, weekly client review. The specifics on each cadence benefit from a CRM that surfaces the right signals. The six items below are the cadence practices Strkr enables for contact-center teams.
Pre-shift huddle
The 10-minute brief that sets the day.
The supervisor opens the pre-shift briefing surface: yesterday's performance against SLA by queue, specific agents to recognize, specific agents to coach, forecast volume for today by hour, scheduled staffing against forecast, specific client-facing initiatives (a new promotion driving volume, a release-related issue). The 10-minute briefing runs with specific data instead of generic encouragement, which is where contact-center team engagement is typically won or lost.
Intra-day monitoring
The service-level call at 10 am, noon, 2 pm, 4 pm.
Service level by queue tracks against target with the hourly cadence. When SL drops below threshold, the floor supervisor sees the driver (volume spike, agent-off-task count, longer AHT on a issue). Intervention runs on specific data rather than generic firefighting. Mireille's intra-day SL recovery time (from below-target to above-target) improved from 90 minutes to 25 minutes in the first 2 months.
Agent coaching 1:1
The weekly supervisor-agent 15 minutes.
The supervisor pulls the agent's week: calls handled, AHT trend, FCR rate, QA score, specific calls flagged by Strkr AI as coachable moments. The 15-minute 1:1 covers 2 specific calls (one strong, one coachable) with the recording queued. The agent leaves with 1 specific skill to work on this week. Coaching becomes behavioral change, not status reporting, which is where the retention lever on contact-center agent turnover sits.
End-of-day wrap
The 20-minute debrief that captures what mattered.
Supervisor runs the end-of-day wrap: SLA achievement by queue, FCR by queue, AHT by queue, QA score sampled today, specific issues flagged for the next-day pre-shift (a system outage mentioned by 11 callers, a product-launch confusion mentioned by 23). The wrap feeds back to the next-day pre-shift so the team starts tomorrow with real context rather than yesterday's stale report.
Weekly client review
The BPO-to-client Thursday meeting.
For BPOs: the weekly review with the end client runs on the metrics the client contract specifies (SLA achievement, FCR, AHT, QA score, specific issue trending). Strkr's client-report export runs with 1 click in the format the client expects. Rohit's team cut client-report preparation from 4 hours per week to 15 minutes, which freed roughly 180 hours per year for actual client-value-adding work.
Monthly executive review
The ops VP 60-minute operating review.
The monthly operating review covers the 4 ops metrics trended by queue and by shift, the agent-level trend distribution (how many agents are performing above target, meeting target, below target), the coaching lift from month-over-month comparison, and the forecast-vs-actual delta. The ops VP walks into the executive meeting with the detailed picture rather than the dashboard's rolling-up version of a rolling-up version.
The role fit per contact-center role
What agents, team leads, QA, WFM, and VPs each use.
A contact-center team is not a monolith. The agent, the team lead, the QA analyst, the WFM planner, and the ops VP each use different parts of the CRM. The specifics for each role ship on every Strkr seat without a role-specific SKU.
Agent workflow
The desktop that fits one monitor.
Agents work the consolidated desktop with the customer context, the open interaction, the next-action recommendation, and the active scripting where applicable. Strkr AI drafts the after-call-work summary. The agent reviews and submits rather than typing. Shift-schedule and break-timer surface on the same screen. The agent spends more minutes on the customer and fewer minutes on the system, which is where agent satisfaction and agent retention improve.
Team lead workflow
The floor supervisor view.
Team leads run the real-time floor view with agent status, service level, longest-waiting, and intervention opportunities (long AHT, longer than queue target). The weekly coaching cadence runs with the Strkr AI coachable-moment surface and the per-agent trend reporting. The team lead's own week opens with a dashboard view of the team's metrics, the agents to coach, and the client-facing issues to escalate.
QA analysts open the scoring queue with the sampling cadence (random, event-driven, calibration-session-driven). Scoring runs on the structured scorecard with per-criterion scoring and attached recording. Trend reports surface per-agent, per-criterion, per-queue trends. Calibration sessions run with multiple QA analysts scoring the same calls to maintain inter-rater agreement.
WFM planner workflow
Forecast, schedule, adherence.
WFM planners export agent-level actuals to the WFM tool (NICE IEX, Verint, Alvaria, Calabrio) and import schedules back to Strkr. Forecast-vs-actual error analysis runs with the current contact volume. Adherence tracking runs on the agent-state time logged in Strkr. Schedule-change requests flow between agent, team lead, and WFM planner on one surface.
Operations VP workflow
The monthly operating review, with evidence.
The ops VP opens the monthly operating-review dashboard: 4 ops metrics trended, agent-trend distribution, coaching lift, forecast-vs-actual delta, issue trending. The export to the executive deck runs with 1 click. The quarterly business review for the end client (BPO) or for the executive team (in-house) runs on the same data.
Finance workflow
Per-seat costing against revenue per client.
Finance runs the per-seat costing (fully loaded agent cost against the revenue per end client for a BPO, or the cost per interaction for in-house ops). Strkr's activity logging ties to the client interaction so the costing is honest rather than averaged. Margin per client surfaces in the finance view for pricing-renegotiation discussions.
Head-to-head
Strkr vs Zendesk for a contact center.
Zendesk is the common comparison for contact-center CRM at the service end. Freshdesk and Salesforce Service Cloud are the other common comparisons. Dedicated platforms (Genesys Cloud, NICE CXone, Five9) sit at the enterprise end. The head-to-head below focuses on Zendesk for a 50-to-300-seat contact center.
Feature
Strkr
Zendesk Suite
Pricing basis
Flat per seat, full product on every paid tier
Per agent with Team, Growth, Professional, Enterprise tiers
FCR, AHT, SL, QA native fields
All 4 native with structured rollup
Via Zendesk Explore reporting
QA scorecard engine
Native structured scoring with trend reporting
Via Zendesk QA (Klaus acquisition)
Supervisor floor view
Native real-time floor with 5-second refresh
Via Live Dashboard on Professional+
WFM integration
Native export to NICE, Verint, Alvaria, Calabrio
Via Zendesk WFM or marketplace
Call recording and compliance
PCI, HIPAA with BAA, TCPA included
Via Talk Partner Edition
Strkr AI call summarization
Included via Strkr AI
Via Zendesk AI (Advanced AI add-on)
Multi-tenant BPO support
Per-end-client workspaces native
Via multiple accounts
Agent desktop consolidation
One-monitor pattern with all context
Zendesk Agent Workspace
Three-year TCO for 150 seats
Transparent per-seat math
Published list plus Advanced AI plus WFM
How teams use Strkr
How contact centers run Strkr.
The common thread across contact-center customer accounts: the 4 ops metrics stay honest, the QA process scales from 300 calls scored per month to 800, and the supervisor-to-agent coaching cadence actually drives behavioral change. The playbooks below are motions live on contact-center customer accounts right now.
Rohit's 85-seat BPO serving 3 US retail brands ran the QA scoring in Excel scoring 320 calls per month across the floor. On Strkr's structured scorecard engine the QA team scored 580 in month 1 and 740 in month 2 with the same analyst count. The coaching-lift metric: agent QA scores improved an average 7 points over 4 months with the agents who received the Strkr AI coachable-moment coaching leading the lift. Client retention metrics (which the BPO contracts tie to QA score) improved for all 3 end clients.
Mid-market insurance in-house ops
After-call-work time cut 22 percent with the consolidated desktop.
Mireille's 42-CSR in-house customer-service team ran the historical 3-monitor pattern (CRM, dialer, policy-admin system). The consolidated Strkr agent desktop collapsed to 1 primary monitor with the Strkr AI after-call-work summary. ACW time dropped from an average 2 minutes 50 seconds to 2 minutes 12 seconds, a 22 percent reduction. The additional capacity: roughly 4 agent-FTE equivalents freed up for additional interaction handling without an additional hire.
220-seat healthcare BPO
HIPAA call-recording compliance cleared the annual audit.
A 220-seat healthcare BPO handling appointment scheduling and member service for 4 health-plan clients moved to Strkr with HIPAA call-recording compliance under the signed BAA. The annual HIPAA audit cleared on the Strkr recording retention and the PHI redaction evidence. The prior-tool issue (one of 4 health-plan clients had flagged a PHI exposure in the quarterly audit) did not recur on the Strkr compliance posture.
Mortgage-servicing contact center
TCPA compliance evidence cleared the state-AG inquiry.
A mortgage-servicing contact center with 110 agents on outbound collection handling received a state attorney general inquiry on TCPA compliance. Strkr's consent-management surface produced the per-contact consent record with per-call evidence (consent timestamp, consent method, consent-renewal history) in the AG-prescribed format. The inquiry closed with no finding against the center. The ops VP cited the structured consent record as the single capability that prevented an enforcement action.
Retail e-commerce peak season
Black Friday to Cyber Monday ran without a flex-staff emergency.
A retail e-commerce contact center at 65 steady-state seats scales to 180 seats for Black Friday to Cyber Monday. The Strkr seat-flex (add seats on a daily cadence, drop seats weekly) handled the 115-seat ramp over 72 hours without a tier bump or a long-term commitment on the seasonal seats. The forecast integration with the WFM tool projected the hour-by-hour volume with 4 percent forecast error against actual. The ops VP ran the peak with the team they already had rather than a last-minute staffing scramble.
A call center CRM that reads the 4 ops metrics natively.
Start a 14-day trial with the call-center configuration enabled: FCR, AHT, service level, QA score native fields, QA scorecard engine, supervisor floor view, Strkr AI call summarization, WFM integration, and the multi-tenant BPO support.
How does Strkr handle PCI call-recording compliance?
Strkr's call recording with PCI compliance runs with real-time payment-information redaction: when the IVR or the agent reads out a payment-card entry prompt, the recording pauses automatically for the card-entry window. For the manual-payment path where the agent collects card data verbally, the agent toggles the pause-recording control before the card data is spoken; the pause state tags on the recording with the duration redacted. Both patterns produce PCI-compliant recordings that retain for the required period without exposing the card data. The PCI audit evidence (the recording-pause log, the redaction policy, the agent training record on the pause pattern) retains with the compliance package. Centers under PCI DSS Level 1 or Level 2 attestation have cleared annual PCI audits on the Strkr recording posture.
What is the HIPAA posture for a healthcare BPO or in-house healthcare service?
Strkr is HIPAA compliant with a Business Associate Agreement available on request. The posture includes encryption at rest with AWS KMS envelope encryption, TLS 1.2+ in transit, role-based access with least-privilege defaults for PHI access, access-audit log retention for the HIPAA-mandated period, call-recording retention with PHI handling evidence, and minimum-necessary data access patterns. For contact centers serving health plans or healthcare providers, the BAA covers the specific HIPAA Security Rule and Privacy Rule obligations relevant to the service context. The compliance package includes the specific HIPAA controls documentation that healthcare clients typically request during a vendor security review.
How does the WFM integration work?
Strkr integrates with the common WFM tools (NICE IEX, Verint Workforce Management, Alvaria Workforce Engagement, Calabrio ONE) via scheduled export and import. Agent-level actuals (schedule adherence percentage, state-time by state, handle time, after-call-work time) export to the WFM tool in the format the WFM tool expects for forecast calibration and schedule compliance. Schedules import back to Strkr so the agent sees the next scheduled break and the shift-end time on their own screen. Forecast error analysis runs with the actual contact volume from Strkr feeding back to the WFM forecast model. For centers running without a dedicated WFM tool, Strkr's native scheduling and forecast tools cover the common contact-center needs through 500 seats; above 500 seats, the dedicated WFM integration is typically preferred.
Can Strkr handle a BPO running for multiple end clients?
Yes. The multi-tenant BPO configuration ships per-end-client workspaces with the right scorecard, the right queue definitions, the right SLA, the right reporting cadence, and the right data isolation per contract. Agents working across clients see the right context per interaction based on the queue they are serving (greeting template, verification process, scripting, product knowledge base). Reports export per end client in the format the client contract requires. For BPOs with 3 to 20 end clients, the per-client workspace pattern replaces the historical approach of either running separate CRM instances per client (admin overhead) or running one CRM with workarounds (data-isolation risk). Access controls enforce that an agent working client A does not see client B data, and the audit log captures the per-interaction client context for compliance review.
What is the migration path from Zendesk, Freshdesk, or NICE CXone?
Strkr has migration tools for Zendesk (via Zendesk API), Freshdesk (via Freshdesk API), and NICE CXone (via file-based import with structured mapping). The migration carries ticket history, agent assignments, queue definitions, SLA definitions, custom field data, and attachment history. QA scorecard history migrates from Zendesk QA (formerly Klaus), Verint, or NICE QM where the data export is available. Agent-level trend data preserves so coaching continuity is maintained. Most mid-market contact-center migrations complete in 10 to 16 weeks for centers up to 300 seats, with a 3-week parallel-running period before cutover. For centers running integrated WFM, the parallel period extends to confirm the WFM data exchange runs correctly.
What is the pricing for a contact center with 100 agents vs 300 agents?
Strkr call-center configuration is per seat with the full product on every seat. A 100-agent center pays 100 seats. A 300-agent center pays 300 seats. There is no tier bump at 150 or 250 seats. No per-interaction meter. No per-recording meter. No scorecard-module gate. The compliance posture (PCI, HIPAA with BAA, TCPA) ships on every seat without a compliance tier. Current call-center-configuration pricing lives on the pricing page. For comparison math: Genesys Cloud lists at roughly 75 to 190 dollars per seat per month depending on the tier; NICE CXone lists at roughly 110 to 240 dollars per seat per month; Five9 lists at roughly 100 to 230. Strkr runs materially below these list prices with the breadth that matches the mid-tier of each.
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