Huuuge Games: Unifying product planning in Jira Cloud
Client
Huuuge Games
Industry
Gaming / Mobile entertainment
Technology
Jira, Jira Cloud
Tools
Jira, Jira Plans, Jira Product Discovery
Consolidated 30+ projects into one Cloud model and delivered $192+ first-year benefit
What happened and why it matters
Huuuge Games wanted to optimize how product teams worked as the organization grew. Product leaders managed their own priorities, while teams tracked around 30 projects in separate spreadsheets. Stakeholder requests often arrived outside the regular planning process. A lean IT team kept Jira Data Center and custom scripts running reliably, but it required significant effort. To simplify operations and create a unified approach, the company chose to migrate to Atlassian Cloud and standardize planning and delivery in one shared model.
- Two production phases: first 140 people in the core product group, then approximately 160 people across the remaining teams.
- Consolidation of over 30 product projects into one shared Cloud project for the core product team, giving leaders and teams a common view.
- Jira Cloud didn’t simply absorb over 120 legacy scripts; instead, the migration allowed the team to work differently, making many of them unnecessary. By intentionally leaving most scripts behind to simplify operations, including dropping financial processes entirely. They successfully avoided an estimated 140 man-days of custom development.
- Planning and decisions now happen in Jira Plans and Jira Product Discovery, not in spreadsheets and ad hoc decks.
- Data Center is left in read-only mode for reference while the entire company works in Cloud.
Huuuge Games: the team behind the move
Huuuge Games is a global mobile games developer. Teams span product, design, art, engineering, QA, and operations. They collaborate on a live service model where fast iteration and cross-team coordination directly impact revenue.
Many projects in Jira DC, limited shared context
As Huuuge grew, each product team created its own Jira project on a Jira Data Center instance. Local autonomy enabled quick changes, but it limited portfolio-level visibility and added overhead to planning, reporting, and upgrades.
Leadership requested a single view of priorities and progress across product teams, while administrators faced the challenge of managing numerous projects alongside custom solutions. The existing setup could not provide that without extra spreadsheets, meetings, and bespoke scripts.
“The product group managed over 30 separately configured projects, making it impossible to build a unified tracking dashboard for leadership. ‘Combining this into one project resolved the issue.”
The specific challenges and their business impact:
- With multiple separate projects per product team, there was no single source of truth for capacity, dependencies, and status across the portfolio. Reviews required manual agreement and exports that aged quickly.
- Roadmaps were often maintained in spreadsheets, which created duplicate work and delayed decisions when numbers changed mid-cycle.
- Hundreds of custom automations and scripts accumulated over time, raising the cost and risk of upgrades and slowing down change.
- A leaner IT team had to spend attention on server maintenance, app upkeep, and exception handling instead of enablement.
- Leaders needed faster, more precise answers on what should start next and what could wait, especially across product teams.
Previous adjustments, such as adding another project or script, solved local issues but made cross-team planning and maintenance more challenging. The company needed a structural change in how work is organized and viewed, not only a change in where Jira runs.
“Inconsistent naming across projects made it difficult for people to find work and align on priorities.”
Cloud first, consolidation by design. Huuuge Games’ path to Jira Cloud
Huuuge decided to migrate from Jira Data Center to Atlassian Cloud, using the move to standardize how product teams work. The guiding idea was simple: a shared model for planning and delivery, fewer custom parts, and a single point of decision-making.
“The team’s objective was more than just migrating Jira to the Cloud. It was about giving everyone access to clear, easy-to-read plans that could be understood within minutes and acted on in the same meeting.”
Step-by-step implementation:
- Discovery and assessment
- Full inventory of projects, workflows, custom fields, apps, and scripts.
- Decision tree per project: merge, migrate 1:1, create smaller new configurations, or design entirely new projects.
- Broad communication with every team: not only product, but also marketing, legal, and others.
- Joint analysis with stakeholders to decide the right migration path for each case.
- Users explored Jira Cloud early on through a dedicated test instance (Atlassian One) with sample data, which helped build confidence and enabled extensive testing and experimentation.
- The main product team was selected as the first production wave to validate the operating model in a single shared project.
- Pilot and configuration
- Cloud sandbox to trial consolidation and permissions.
- Productized workflows and issue types for the product team, plus standard boards and fields.
- No ScriptRunner in Cloud by design. One needed behavior recreated with native Jira automation.
- Projects were migrated first to the sandbox and adjusted before production rollout.
- Errors and issues were resolved in advance to ensure safe production migration.
- Phase 1 cutover - product team (140 people)
- Merged 18 product team projects into one Cloud project.
- HyperCare to address configuration questions and adjust dashboards, boards, and filters.
- Phase 2 cutover - remaining teams ( 160 people)
- Archived or set most legacy projects to read-only in Cloud for reference.
- Data Center left in read-only mode for a limited time for safe lookup.
- Double-check with owners to confirm what stays active.
- Plan and decide in one place
- Jira Plans are used for portfolio schedules and capacity scenarios.
- Jira Product Discovery is used to validate initiatives, provide executives with context, and capture stakeholder requests for product teams.
| When | What happened | Who was involved |
|---|---|---|
| May 2025 | Assessment completed with inventory and per project decisions | Head of IT sponsor, product representative, admins, Deviniti |
| Jun 2025 | Cloud sandbox configured, consolidation patterns agreed | Product representative, admins, Deviniti |
| Jul 2025 | Production cutover phase 1 for 140 people with HyperCare | Product teams, admins, Deviniti |
| Aug 2025 | Production cutover phase 2 for the remaining 160 people, DC to read only | All teams, admins, Deviniti |
| Sep 2025 onward | Jira Plans and Product Discovery scaled for leadership views and intake | Product leadership teams, Deviniti |
“When teams couldn’t agree on a setup, the approach was to test it in practice: if it supported faster decision-making, it stayed; if not, it was discarded.”
Lower spend, faster decisions, simpler stack
The first weeks in Cloud brought visible UX gains and fewer moving parts to maintain. More importantly, product leaders and teams now work from the same project, the same boards, and the exact roadmap, which shortens status meetings and reduces back-and-forth communication.
| Area | Before (Data Center) | Now (Cloud) |
|---|---|---|
| Jira structure | ~30 separate projects (confirm with the client) | 1 shared project for the main product team |
| Portfolio view | Spreadsheet roadmaps plus per-team boards | Jira Plans with shared views for product teams and leadership |
| Custom scripts | Over 140 ScriptRunner custom scripts | 0 custom scripts in Cloud, 1 behavior rebuilt with native automation |
| Stakeholder intake | Requests handled via meetings and ad hoc tickets | Requests tracked and triaged in Product Discovery |
| Daily planning time HC | ~2 hours to reconcile boards and sheets | ~30 minutes with a single board and shared filters |
| Roadmap prep for reviews | ~2 days to compile views and exports per cycle | ~4 hours using Jira Plans and saved views |
| Script porting effort | Estimated 140 MD if ported 1:1 | 0 MD spent due to the consolidation-first approach |
“The new setup gave a clearer view of team workload, making planning more accurate and showing earlier when a team was at capacity and needed support.”
Financial and time savings, directional view:
| KPI | Before (Data Center) | Now (Cloud) | Annual saving | Note (calculations below) |
|---|---|---|---|---|
| Time savings in Jira operations | Work spread across many projects and views; frequent spreadsheet reconciliation | One shared project and boards; faster navigation and search. 10 minutes per employee saved daily. | ~ 141 790 USD | A |
| Elimination of manual upgrades | Regular server upgrade projects and checks | Automated Cloud updates | ~ 1 981 USD | B |
| Reduction in IT team maintenance costs | On-prem upkeep of server, apps, and bespoke scripts | Atlassian-managed infrastructure and native automation | ~ 8 400 USD | C |
| Server infrastructure price | VM, storage, backup, monitoring | All server costs eliminated | ~ 30 000 USD | D |
| Meeting time reduced by shared context | Weekly status meetings to align between projects | Same project, same dashboards, shortened updates | ~ 10 679 USD | E |
| Total first-year benefit | – | – | ~ 192 850 USD | – |
| Label | Calculation |
|---|---|
| A | Average IT salary 7 930 PLN per month per Ogólnopolskie Badania Wynagrodzeń → 12.89 USD per hour at 0.26 USD/PLN. Time saved = 0.167 h per day × 300 employees × 220 workdays = 11 000 h. Annual saving = 11 000 h × 12.89 USD ≈ 141 790 USD. |
| B | Average systems-admin salary (Network/Microsoft/Unix Admin “opt.” 15 000–16 000 PLN per month in Hays Poland Salary Guide 2025) → 16 000 ÷ 168 h ≈ 95.24 PLN/h → at 0.26 USD/PLN ≈ 24.76 USD/h. Annual saving = 4 upgrade cycles × 20 admin hours per cycle × 24.76 USD/h ≈ 1 981 USD. Cloud updates are automatic. |
| C | 20 admin hours per month shifted from server and bespoke upkeep to enablement × 12 months × 35 USD per hour = 8 400 USD. |
| D | Clustered server infrastructure (application nodes, high-availability database, load balancing, shared storage, and dedicated staging environments) estimated at 2 500 USD per month. Annual saving = 2 500 USD × 12 months = 30 000 USD. |
| E | Average Product Manager pay 15 000 PLN/month, “opt.” per Hays Poland Salary Guide 2025 → 15 000 ÷ 168 h ≈ 89.29 PLN/h → at 0.26 USD/PLN ≈ 23.21 USD/h. Annual saving = 10 leads × 1.0 h/week × 46 weeks × 23.21 USD/h ≈ 10 679 USD. |
“Administrators can now focus on improving the way teams work instead of maintaining scripts, which translates into both better morale and better outcomes.”
Cloud migration summary and future plans
The change that matters most is shared context. With one project model in Cloud, teams and leaders look at the same view, make decisions faster, and spend less time reconciling multiple project structures. The stack is simpler, so upgrades and adjustments do not compete with product work.
Looking forward, the company plans to:
- Use Jira Product Discovery as the standard intake for stakeholder requests across more teams, with an expected 30 percent shorter leadership review cycle within 6 months.
- Grow Jira Service Management and Assets into the system of record for hardware and software, including license tracking, which should reduce audit prep from about 3 days to about 1 day per audit window.
- Continue the meeting-light culture by utilizing dashboards and asynchronous updates, aiming for a 50 percent reduction in recurring status time for product leads within 3 months.
- Maintain a lightweight governance rubric for fields, workflows, and schemes to ensure the one project model remains fast as teams evolve.
