We are migrating our customer support from a shared inbox to a ticketing system with SLAs.

Migrating from a shared inbox to a ticketing system is a major milestone for a support team. It completely shifts how you handle customer issues, moving from chaotic triage to structured, accountable workflows.

Here is a clear, step-by-step roadmap to make the transition smooth and successful:

- Audit how emails come in, who assigns them, and where things currently slip through the cracks.
- Document your most common request types so you can plan your automation and categorization later.[[1]](https://google.com/goto?url=CAESawHrOzAVjBRVfsNkNyF_z8WAeQh0oqAFvD0bB7DUQd1gksDCm9h2hDhARPC7hjyk4JJYzsnitdhtXQbYRNEx9_eA5aLVnAAvDfMpRYGfwrkJJBLTqOx62YvJw4hjkrlzLdNunBE0h9EjN9C2)

- Set realistic targets for **First Response Time** and **Resolution Time** based on your team size and business hours.
- Differentiate SLAs by priority levels (e.g., urgent bugs vs. general how-to questions).[[1]](https://google.com/goto?url=CAEScgHrOzAVticxGwTqfLO2r9tPR5QhSn2vc6z4zK1A8zwves0VR5N7h4SctoisdCa1EGL-uQV62pP_vwqf9nb-NWl_M38TQpzRJcad_sf8ftZj5QaibkTsqp91T_iy5fdUQgpAvG57KgGJqvI1QMuJCd0KWA)[[2]](https://google.com/goto?url=CAESiAEB6zswFZwhgFvWjg4ERxVT3Uel0wlp5QtNS8SLJRlmbSNueTvlDrCUW5_mx5MbqRmaftkhi3mYiFBacgWD8eAgBMwbJwkkX7gZXRHMlors9vnPkbJaCnarAlyJVy8W3saFfYDFg1mf1dAgKyCdlzd-9j9HrIfp5snVfv_uu_P_38NoUP1KVpxy)[[3]](https://google.com/goto?url=CAESbQHrOzAVxY9SQD4ILJnDy0IYJ6Sr1ojRyMy3PWCLLJI_S2rH7F1mHx8DWsc_aVeLYXrz2S7fB5VFRnFgUwkGKNstmsfpvEIZ3a7--9V_mg1uBPKqkFUspueE2wLwpb59yId7sK_TnLt9-KiXCRU)[[4]](https://google.com/goto?url=CAESSQHrOzAVfPl4B83iTHmsbOAoqJ5mPkWunsNERQ1as_PYKdM2BwuhfSMCEx0ND9E6dh9vaiWoYylGS7MtUCaXnIqChc68fMHo8R0)[[5]](https://google.com/goto?url=CAESVwHrOzAVOI_PCe2QJUrP6Ta5V9_ydT2BZ08tLmS9m0dZvema901XF5liz4tBqmVS3s8t0l_-n7HY9VoF31-1LfgiZ8lL8jclQouzUlX3agMfRV1gbKF15A)

- Create clear **Tags, Categories, and Priorities** so incoming tickets can be automatically sorted and routed.
- Keep initial categories simple; you can always add more granularity later as the team adapts.[[1]](https://google.com/goto?url=CAESUwHrOzAVNdDR-9xhVQ-gzb7gUee6jmDlfxi_e1S6fNcP41uyR94gAQY2iCaHlYMZxJE8B-l0oM3qMxaclXcep-3SyIV5m0zHLFPh3ZCGgL5VPIl3)[[2]](https://google.com/goto?url=CAESUgHrOzAVpZQpfmv3T07UdOHt1ao2O04x8djqE1Vfmsz5jxcgOy1PtOB5cxFpAy3DAziV9BwtZH0HcKUGCspV2uQ2XtEEY71shE1wFqyONYmUVTY)[[3]](https://google.com/goto?url=CAESXQHrOzAVLQ2rHSL2IN750D3WDLqdtXYEEPVe9cgfTP05crx5iWR5QvpS8fHlMLFuYUucSKAT-3jFKELg8VpIfDw_2MYAxvbIg-Cn2dwgWZYZRp5Lt5tE8GVI1Dc48w)[[4]](https://google.com/goto?url=CAESagHrOzAV9xrlvXKsqHNWhP4NBY3X3AWVspiunwLnkgUaqGKWTwOT2WamLfSzADef4YxHlSalMuMYQ3_l_ilN5TEVC3neyOxNvXpER7b0QOcvkMby6MrT2-EX7gyhfbXSfjN4j20Dr7ogW7A)[[5]](https://google.com/goto?url=CAESUAHrOzAV2N8Rkupwouw6JQWouseb9C2eVmXP6PqqkY87wUNERWpKekFZTtBrtVytEVcvgiDA6gmBIw9_qHmGjgEqPHTjfLwsiBwJBHuZk1sT)

- Configure rules to auto-assign tickets based on keywords, sender domains, or support topics.
- Set up automated triggers like customer acknowledgment emails and SLA breach warnings for managers.[[1]](https://google.com/goto?url=CAEScgHrOzAVa82wfHiejqwyW1Qeo5YAyDFXikI-lgpfE40rw3cUvDJ2jdkHejs0_IfODWsIHTUYsXZ0o0NmaEBq6AvanvYP9gXsmxwjnGF_edySLSN1Zd1e51gfjJ1BzMYgadvliEc0g8r2nXZGgwjQV_QIxw)[[2]](https://google.com/goto?url=CAESTAHrOzAVxdGxSjJNRz9gTA7yijUWyakQBF7Ul7sRrBBS0pOT1g9lCpAXj4yVKF-1Z11RpjL1oNCsLhNNVL0HMU9rUYHYw7t2dPW5k0w)[[3]](https://google.com/goto?url=CAESQQHrOzAVnZb42iluzJCbpiROQ7cYsJvbAa__fhtCMOefdBY_l_qxVTFCPd0xO9Xk5FYNyKJP38YDjN0Aa7wA2eM0)[[4]](https://google.com/goto?url=CAESfwHrOzAVVcWTms3EnjVpA9zumX1fnXqssOIu9Y1k9Nx7amwfvvF0qne-blsbL4pjPiq6ytH7un40--mawNF_0cgJOOmaSDzx3pXJFbh-HU-Ct_BmaPbfQ5tu-NoGNYd3s6wuvM6fJFiokcnj1hddw1Dv-OB4EtjPzrEGx7uihzc)[[5]](https://google.com/goto?url=CAESWQHrOzAVYHLTNZRiQxRp8SdVVjFPtMB-9KLa3XrIsdBma8-qldiOFuS6apGQ1FDBJWGikc3MWkNy-O371hFuCrf4p-YBTA9I_c-KHUcfLDQrA1cY8skxfzNr)

- Migrate your best templates and macros from the shared inbox into the new system.
- Organize internal documentation so agents can resolve issues faster without guessing.[[1]](https://google.com/goto?url=CAESgQEB6zswFevXZrc5IPaHws0p8lLSk35HFZYOs8Gi4C5oJfRrc4OqKmIUg1tmEO-uxFKIL9TDYCDPEEkg4j0oEY0yz6kwMSy8KDklQHT1kjD6uKzQeQLcdqGGBw9FlJEeDnvi83-yspIc75C91isDXQXxsY5Av4BNkWN-lgwe5_CLKg8)

- Decide whether you are importing old emails (historical data) or starting fresh.
- Forward or redirect the old shared inbox address into the ticketing system so new emails automatically generate tickets.[[1]](https://google.com/goto?url=CAESZQHrOzAVwrDW76-TDaKt7mYnreYv6gFuT9zTE05UbiUtDzwnN0EPi9mQoKL_KFpTTaZ0ir59zDr9eEdVct_YI6qUiwCGbYfS9-BnTwJVmQYoRUr1EiyVLBJ4h8eGV_siXAXaTOpH)

- Conduct hands-on training sessions for agents on how to use internal notes, status changes, and views.
- Run a soft launch with a small internal team or a single product line for a few days to catch configuration bugs.[[1]](https://google.com/goto?url=CAESUgHrOzAV5T0f5prvpcW2jgAkl_MUoDIjc8viYQ4wFcxxsABn9659GU_OVF5VteJDv3Ad7kMIVpeoJNewWFAGj31oYidPSrdU0apFBPzpdMlN3vg)

To help tailor this transition plan, tell me:

• Which ticketing system are you migrating to (e.g., Zendesk, Freshdesk, Front, HubSpot)?
• How large is your support team?
• Are you planning to migrate historical emails , or start fresh on day one?

That’s a good point to formalize the support operating model, not just migrate email. A ticketing system can give you explicit ownership, routing, SLA tracking, escalation, and reporting—capabilities that are difficult to manage reliably in a shared inbox.

I’d structure the migration around these areas:

1. Define the SLA model

• First-response SLA
• Resolution SLA
• Business hours vs. 24/7 clock
• Priority definitions (e.g., P1–P4)
• What pauses the SLA, such as “Waiting on Customer”
• Escalation thresholds before a breach

2. Design the ticket lifecycle

• New → Assigned → In Progress → Waiting → Resolved → Closed
• Every ticket should have one clear owner.
• Avoid using “read/unread” as a proxy for status; explicit states make workload and SLA risk visible.

3. Build routing rules

• Route by product, issue type, customer tier, language, or priority.
• Establish automatic assignment where appropriate.
• Define what happens to unassigned tickets and tickets that can't be categorized.

4. Migrate history carefully

• Decide how much historical email needs to become searchable ticket history.
• Preserve attachments, timestamps, and conversation context where required.
• Inventory aliases, forwarding rules, automations, integrations, and permissions before cutover.

5. Run a controlled cutover

• Pilot with a subset of tickets or agents.
• Validate ticket creation, email replies, assignment, SLA timers, notifications, and escalations.
• Consider a short parallel-running period rather than switching everything at once.

6. Define the reporting baseline At minimum, measure:

• First response time
• Resolution time
• SLA attainment/breaches
• Backlog and ticket age
• Tickets by priority/category
• Reopen rate
• Customer satisfaction, if available
• Agent workload

The most important design decision is not the ticketing software itself. It's agreeing beforehand on what constitutes a priority, who owns a ticket, when an SLA clock starts/stops, and what happens when the clock is at risk. Otherwise you'll simply move the ambiguity from the shared inbox into a more expensive system.

If you tell me your team size, approximate ticket volume, support hours, and the SLAs you want to offer, I can help you design the actual SLA matrix and migration approach.

That’s a good migration to treat as an operations change, not just a software rollout. The biggest gains from ticketing usually come from explicit ownership, routing, SLA tracking, and reporting—not simply moving email into a different interface.

A practical migration sequence is:

1. Baseline the current operation

• Ticket/email volume by day and hour
• First-response and resolution times
• Current escalation paths
• Common request categories
• Existing aliases, automations, and integrations
• Historical data that actually needs to be migrated

2. Design the future workflow before configuring the tool

• Define statuses such as New → In Progress → Waiting → Resolved.
• Give every ticket exactly one owner.
• Establish routing rules by category, customer, product, or priority.
• Define what happens when an agent is unavailable.
• Decide when a ticket can legitimately be considered "resolved."

3. Define SLAs carefully Start with at least:

• First-response SLA
• Resolution SLA
• Priority-specific targets
• Business hours/holidays
• "Waiting on customer" behavior
• Escalation thresholds before breach

Be especially explicit about the SLA clock. Ticketing platforms can treat business hours, status changes, transfers, and waiting states differently. HubSpot Knowledge Base Freshdesk 4. Pilot rather than big-bang Pick one queue or a subset of agents. Run the ticketing system alongside the shared inbox briefly, compare routing and SLA results, and fix edge cases before moving everyone. A phased migration is specifically recommended for avoiding customer disruption. Supportbench 5. Protect the customer experience at cutover Keep the existing support address if possible, so customers don't have to learn a new contact method. Make sure incoming messages reliably create tickets, replies stay attached to the correct thread, and nobody is monitoring two systems indefinitely. 6. Measure the migration itself I'd use a dashboard with:

• SLA attainment %
• First-response time
• Resolution time
• Backlog
• Tickets approaching SLA breach
• Reopened tickets
• Tickets without an owner
• Volume by category/priority
• CSAT, if you collect it

A particularly important point: don't migrate the shared inbox's existing ambiguities into the ticketing system. If routing, ownership, priorities, or "done" aren't defined first, automation will simply make an inconsistent process operate faster.

If you're deciding how to structure the actual migration, I can also lay out a concrete 30/60/90-day migration plan, including SLA design, ticket fields, routing rules, pilot, cutover, and success criteria.

Moving from a shared inbox to a structured ticketing system with Service Level Agreements (SLAs) is a huge upgrade for your customer support quality and accountability.

Here is a clean, actionable blueprint to make the transition smooth:

• Audit and Map Current Workflows: Document how emails currently come in, who touches them, and how they get resolved. Identify your most common request types so you can build out ticket categories, tags, and routing rules.
• Define Realistic SLAs: Establish baseline metrics for First Response Time (FRT) and Resolution Time based on your team's historical data and capacity. Start with generous targets and tighten them once the team adjusts to the new workflow.
• Build a Knowledge Base & Canned Responses: Don't start from scratch. Migrate your best email templates from the shared inbox into the new system as macros or saved replies to keep response times fast.
• Configure Automated Routing and Triggers: Set up rules to automatically assign tickets based on keywords, sender domains, or product lines, ensuring requests land in the right queue instantly.
• Train the Team and Set Expectations: Walk your support agents through the "why" behind the migration—emphasizing that SLAs protect them from burnout and make workloads transparent, rather than acting as a policing tool.
• Run a Phased Rollout: Consider routing a single low-risk channel or a specific customer segment into the new system first to iron out bugs before cutting over completely.

To help you narrow down the technical execution, could you tell me:

• What helpdesk software (e.g., Zendesk, Freshdesk, Intercom, HubSpot) are you migrating to?
• How large is your support team?

That’s a meaningful process change, not just a software migration. The biggest risk is moving the emails successfully while leaving the old support habits intact.

A good migration should establish these things before cutover:

1. Clear ticket ownership — every request has exactly one accountable owner.
2. Simple statuses — e.g. New → In Progress → Waiting → Resolved.
3. Priority rules — define what makes a ticket urgent rather than letting agents decide ad hoc.
4. SLA definitions — at minimum, specify first-response and resolution targets, plus business-hours/calendar rules. Modern ticketing systems commonly support separate SLAs for first reply and close time. knowledge.hubspot.com
5. Routing and escalation — decide which team receives each category and what happens when an SLA is approaching breach.
6. Templates/macros — identify the recurring questions that can be answered consistently.
7. Reporting baseline — capture current volume, first-response time, resolution time, backlog, and escalation rates so you can tell whether the migration actually improved support.
8. Historical-ticket strategy — decide what happens to old conversations versus active/unresolved ones. Active issues should not simply be left behind in the old inbox.
9. Pilot before cutover — test ticket creation, email threading, assignments, notifications, SLA timers, escalations, and reporting with a representative subset before migrating everything.
10. A firm cutover rule — after the migration, agents should have one authoritative queue rather than continuing to work out of both systems.

One principle I'd emphasize: design the support workflow first, then configure the ticketing system around it. The decisions about ownership, statuses, escalation, and exceptions matter more than configuring every feature the platform offers.

If you're planning the migration now, I can help you build a practical migration plan covering SLA design, ticket fields/statuses, routing rules, cutover, and agent training.

Migrating from a shared inbox to a proper Help Desk Ticketing Software with Service Level Agreements (SLAs) eliminates "agent collision" (two people replying to the same email) and the "bystander effect" (nobody replying because everyone thinks someone else did). Moving away from an unstructured Shared Mailbox in Outlook or Gmail inbox requires careful sequencing so that historical data remains intact, agents adapt smoothly, and your SLA clocks behave accurately from day one.

Core Steps for a Smooth Migration

1. Map your workflows and statuses first
   • Define what a lifecycle looks like (e.g., New, Open, Waiting on Customer, Resolved).
   • Configure your platform's status mechanics so that replying to a customer or putting a ticket "on hold" automatically pauses or resumes the SLA countdown clock.
2. Establish realistic, tiered SLAs
   • Set distinct targets for First Response Time and Resolution Time based on issue priority or customer tier (e.g., VIP vs. standard).
   • Build internal warning triggers (e.g., notify a supervisor when a ticket hits 75% of its allowed response window) to prevent breaches before they happen.
3. Clean and connect the communication channel
   • Forward or integrate your support alias ([email protected] ) directly into the new platform so that incoming customer emails cleanly auto-generate tickets without changing the customer-facing experience.
   • Decide whether to migrate old historical email threads or draw a hard line (leaving the old shared inbox accessible only for archive/lookup).
4. Train agents on ownership and internal notes
   • Enforce a strict rule that every single ticket must have one and only one assigned owner at all times.
   • Train the team to use internal notes/comments for collaboration instead of forwarding emails back and forth internally.
5. Build your initial macro and knowledge base library
   • Pre-load standard canned responses (macros ) for your top 5 repetitive customer inquiries to keep initial response times well within your new SLA limits.

If you'd like, let me know:

• What help desk platform you are moving to (e.g., Zendesk, Freshdesk, HubSpot, Jira Service Management)?
• How many support agents are on the team?
• What your target response/resolution SLA numbers look like?

I can help tailor the specific automation rules and escalation paths for your setup.

That migration is less about moving emails and more about designing the operating model around ownership, prioritization, and measurable response times. A ticketing system can eliminate the ambiguity of a shared inbox, but only if the workflows are defined before configuration.

I’d structure the migration around these areas:

1. Define the ticket lifecycle

   • New → Assigned → In Progress → Waiting on Customer → Resolved → Closed
   • Make one person explicitly accountable for every open ticket.
   • Define when a ticket can be reassigned, escalated, or closed.

2. Design your SLA policy

   • Separate first-response SLA from resolution SLA.
   • Decide whether SLAs run 24/7 or only during business hours.
   • Consider different targets by priority/customer tier.
   • Define exactly what pauses an SLA—e.g., whether "Waiting on Customer" stops the clock.

3. Build routing before you migrate

   • Determine which queues/teams own which request types.
   • Automate assignment where possible.
   • Define escalation rules for tickets approaching or breaching SLA.
   • Avoid recreating the shared inbox as one giant unstructured queue.

4. Decide what historical data actually needs to move

   • Preserve unresolved conversations and anything agents need for customer context.
   • Archive older resolved email rather than automatically importing everything.
   • Pay particular attention to attachments, timestamps, conversation threading, and open cases.

5. Establish reporting baselines Before cutover, capture roughly 30–90 days of:

   • Ticket/email volume
   • First-response time
   • Resolution time
   • Backlog
   • Reopen rate
   • Peak-volume periods
   • Current escalation volume

   Then you can tell whether the new system actually improved support rather than simply producing different metrics.

6. Pilot before full cutover Pick a representative queue, migrate a subset, and test the entire path: incoming email → ticket creation → routing → SLA timer → agent response → escalation → resolution. A phased migration with the old and new systems temporarily operating in parallel can reduce customer disruption.

7. Train on the process, not just the software Agents should leave training knowing:

   • What each status means
   • Who owns a ticket
   • How priorities are assigned
   • When to escalate
   • What pauses an SLA
   • When/how to use internal notes
   • What constitutes resolution

One important principle: don't configure every feature the ticketing platform offers. Start with the minimum workflow that makes ownership and SLA performance unambiguous, then add automation once you've observed the real workload.

If you're at the planning stage, I can also lay out a practical migration plan with phases, owners, cutover criteria, SLA definitions, and a go-live checklist.

That is a massive and exciting upgrade for your support operations! Moving away from a shared inbox eliminates the dreaded "I thought you replied to them" chaos and gives your team real data to work with.

Here is a quick-start roadmap to make the migration smooth and set your new Service Level Agreements (SLAs) up for success:

• Phase 1: Audit and Categorize
  • Tag incoming requests in your final weeks on the shared inbox to see your actual volume and common topics.
  • Define your core categories (e.g., billing, bug report, feature request, general inquiry) so you can route tickets correctly from day one.
• Phase 2: Design Realistic SLAs
  • First Response Time (FRT): Set a goal based on channel urgency (e.g., 15 15 1 5 minutes for urgent, 2 2 2 hours for normal, 24 24 2 4 hours for low priority).
  • Resolution Time: Keep these flexible or exclude waiting-on-customer time initially so your team isn't penalized for slow customer replies.
  • Business Hours: Define whether your SLAs run 2 4÷7 or only during standard business hours (9 A M−5 P M).
• Phase 3: Build Macro and KB Foundations
  • Migrate your most-used email templates into canned responses or macros in the new ticketing tool.
  • Set up a basic internal or external knowledge base (KB) so agents can link articles instead of typing the same answers over and over.
• Phase 4: Change Management for the Team
  • Train the team on internal notes vs. customer replies to prevent accidental public venting.
  • Establish a grace period where the focus is on accurate tagging and workflow rather than hitting strict SLA percentages immediately.

If you'd like to dive deeper, let me know:

• What help desk software (Zendesk, Freshdesk, Intercom, etc.) are you migrating to?
• How large is your support team?

I can give you specific setup configurations or a more tailored rollout timeline.

That’s a meaningful operational change. The biggest mistake is treating it as a tool migration rather than a workflow/SLA redesign.

A good target state should make every customer request have a clear owner, priority, status, SLA clock, and next action—the gaps that commonly cause shared inboxes to fail.

I’d structure the migration around 7 areas

1. Define your ticket lifecycle

   • New → Triaged → In Progress → Waiting on Customer → Resolved → Closed
   • Define exactly what each status means and who can move a ticket.

2. Design your SLA policy before configuring the system Decide:

   • First-response SLA
   • Resolution SLA, if applicable
   • Business hours vs. 24/7
   • Priority/severity levels
   • Whether the clock pauses while waiting for the customer
   • What happens when an SLA is approaching or breached

   Modern help desks can automate SLA timers around first response and closure, including different targets by priority.

3. Create a simple priority matrix

   For example:

   Priority	Definition	First response	Resolution target
   P1 Critical	Major outage / widespread impact	15 min	4 hrs
   P2 High	Significant customer impact	1 hr	8 hrs
   P3 Normal	Standard support request	4 hrs	2 business days
   P4 Low	Question / minor request	1 business day	5 business days

   Those numbers are examples—you should set them based on your contractual commitments and actual support capacity.

4. Build routing and ownership Avoid recreating the shared inbox inside the ticketing tool. Every ticket should automatically get routed to the appropriate queue/team, with an explicit owner. This is especially important because unclear ownership is one of the fundamental failure modes of shared inboxes.

5. Decide what happens to existing email I'd generally use:

   • Historical emails: retain/import only the history that agents genuinely need.
   • Open conversations: migrate them as active tickets with the correct customer, priority, owner, and due date.
   • New email: switch the support address to create tickets automatically.
   • Old inbox: make it read-only after cutover rather than allowing agents to work in both systems.

6. Pilot before the cutover Pick a subset of agents or one support queue. Measure:

   • First-response time
   • Resolution time
   • SLA attainment
   • Reopen rate
   • Backlog
   • Tickets without owners
   • Tickets approaching SLA breach

   Don't just test whether email creates a ticket. Test the entire lifecycle, including customer replies, reassignment, escalation, waiting states, reopening, attachments, CCs, and SLA pauses.

7. Run the first 2–4 weeks as a stabilization period Have a daily review of:

   • SLA breaches
   • Tickets stuck in each status
   • Incorrect routing
   • Tickets with no owner
   • Unexpected SLA behavior
   • Agent workarounds

One important principle

Don't configure the SLA around what the software can measure; configure the software around what you have promised customers.

If you tell me which ticketing system you're moving to, roughly how many agents/tickets you have, your support hours, and whether you already have contractual SLAs, I can help you design the actual SLA matrix + ticket workflow + migration/cutover approach.

Moving from a shared inbox to a structured ticketing system with SLAs is a massive milestone for a support team. It brings accountability, clear prioritization, and sanity back to your daily operations.

Here is a practical, phased game plan to make the migration smooth and avoid team burnout.

Phase 1: Foundation & Cleanup

• Audit the shared inbox: Before moving, look at your last 30 30 3 0 to 90 90 9 0 days of emails. Identify repetitive questions, peak traffic times, and common tags/categories you'll need.
• Archive the noise: Don't migrate years of old, unresolved junk into the new system. Close out or archive dead threads; only bring over active, high-priority conversations if necessary.
• Draft your initial SLA tiers: Keep them simple at first. For example, define separate response times for Urgent, High, Medium, and Low priority tickets (e.g., Urgent response in<1 is less than 1<1 hour; Low response in<24 is less than 24<2 4 hours).

Phase 2: Configuration & Setup

• Set up channels & routing: Connect your support email alias, live chat, or other channels so they automatically funnel into the new helpdesk as tickets.
• Build macro/canned responses: Take your team's most frequently used email templates and load them into the new platform as shortcuts.
• Configure business hours: Ensure your SLAs are tied to your actual operating hours (e.g., 9 A M−5 P M Monday through Friday) so the system doesn't penalize your team for off-hours messages.

Phase 3: Team Alignment & Change Management

• Name a champion: Designate one or two tech-savvy team members to become the "power users" of the new tool who can assist others during the transition.
• Create a cheat sheet: Document a quick internal guide on when to escalate a ticket, how to tag priorities, and what triggers an SLA breach.
• Run a soft launch: Route a small percentage of incoming traffic or run a test batch of internal emails through the system for a few days to catch routing bugs.

Phase 4: Go-Live & Iteration

• Switch the intake: Officially transition your primary support address to feed exclusively into the ticketing system.
• Monitor the queue daily: In the first two weeks, hold a quick 10-minute daily standup to see where tickets are getting stuck or where SLAs are too tight/loose.
• Adjust SLAs as needed: Don't panic if your initial SLAs turn out to be unrealistic. Fine-tune them after observing real data for a month.

If you want to tailor this further, tell me:

• What helpdesk platform are you moving to (e.g., Zendesk, Front, Intercom, HubSpot)?
• How large is your support team?

I can give you more platform-specific advice or help you draft your initial SLA policies.