People & Culture Navigator
Product Roadmap FY26-27
Last updated · 2026-05-01
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{
  "meta": {
    "title": "People & Culture Navigator",
    "subtitle": "Product Roadmap FY26-27",
    "intro": "A market differentiated roadmap that delivers meaningful, repeatable and explainable solutions that leverage core IP and data to provide guidance and insight to internal and client users.",
    "lastUpdated": "2026-05-01"
  },
  "objectives": [
    {
      "id": "obj_bigger_deals",
      "name": "Supporting Bigger Deals",
      "description": "Enhancing our ability to meet clients where and how they want to work and to deploy our data and intellectual property with greater scale and efficiency."
    },
    {
      "id": "obj_routes_to_market",
      "name": "New Routes to Market",
      "description": "Working with colleagues across T&O to collectively address market opportunities, selling existing products into spaces ready to accept them and creating new products by combining, instead of building in isolation."
    },
    {
      "id": "obj_differentiation",
      "name": "Differentiation",
      "description": "'Maintenance Mode' doesn't exist for products: if you are standing still, the competition leaves you behind. Doubling down on our unique Intellectual Property and deploying it intelligently, further raises the bar to competition."
    }
  ],
  "features": [
    {
      "id": "f_swk",
      "name": "Base Workday Integration",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Baseline integration with Workday HRMS — enabling YSCQ to ingest workforce hierarchy and identity data without manual upload.",
      "releaseIds": [
        "rel_72"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_hrms"
    },
    {
      "id": "f_tdc",
      "name": "Tailored Dev. Content by Level Within Client",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Development content tailored by leadership level within a single client tenant — supporting differentiated learning journeys.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_adf",
      "name": "Additional Data Supported in Finder for Talent",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Expanded data fields in the Finder for Talent capability — broader filtering and discovery for HR users.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_efp",
      "name": "Enhanced Flexibility in Premium Assessment Report",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "More flexibility in how Premium Assessment Reports are configured — supporting bigger, more bespoke deals.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_lma",
      "name": "Line Manager Approval in 360 Nominations Workflow",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Line manager approval step added to the 360 nominations workflow — improving governance for enterprise rollouts.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_brand_alignment"
    },
    {
      "id": "f_edr",
      "name": "Enhanced Data Retention & Deletion Processes",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Stronger data retention and deletion processes — meets enterprise privacy requirements that gate larger deals.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_brand_alignment"
    },
    {
      "id": "f_yud",
      "name": "YSCQ Usage Dash for Recoverability Tracking",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Internal usage dashboard for tracking platform usage in support of recoverability and monetisation.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_cost_to_serve"
    },
    {
      "id": "f_ccd",
      "name": "Client Context Data in DWH For Feature R&D",
      "objectiveId": "obj_bigger_deals",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Client context data made available in the data warehouse to inform feature research and development priorities.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_ai_coaching"
    },
    {
      "id": "f_sar",
      "name": "Scale Assessment Report Flexibility",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Enable scale-rating customisation on Assessment Reports — column formatting and flexible content placement at scale.",
      "releaseIds": [
        "rel_73"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_cof",
      "name": "Configure outputs more flexibly",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Greater flexibility in configuring report outputs — section toggles, formatting styles, graph placement within text boxes.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_aps",
      "name": "AI profile summaries: client frameworks",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "AI-generated profile summaries that adapt to a client's own behavioural frameworks rather than only the YSCQ defaults.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_ai_coaching"
    },
    {
      "id": "f_asa",
      "name": "Adaptable Survey Access & Authentication",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "More flexible access and authentication patterns for surveys — including anonymous response collection through multi-use links.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_hrms"
    },
    {
      "id": "f_pes",
      "name": "Project efficiencies for scale",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Project setup and management efficiencies that scale to larger, multi-tenant deployments.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_cost_to_serve"
    },
    {
      "id": "f_dcf",
      "name": "Data collection flexibility",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "More flexibility in how data is collected — multiple link types, anonymisation, custom labels for 5/7 point scales.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_brand_alignment"
    },
    {
      "id": "f_ssa",
      "name": "Self-Service (AI Assisted)",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "discovery",
      "tags": [],
      "description": "Enable internal users to query data themselves through an AI-assisted natural language interface, fronting the semantic layer.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_cost_to_serve"
    },
    {
      "id": "f_sld",
      "name": "Semantic Layer in DWH",
      "objectiveId": "obj_bigger_deals",
      "horizon": "next",
      "status": "discovery",
      "tags": [],
      "description": "A semantic layer on top of the data warehouse so non-technical users can query data using NLP.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_ai_coaching"
    },
    {
      "id": "f_mcf",
      "name": "Multiple Client Frameworks in a Single Tenant",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Support multiple distinct behavioural frameworks coexisting in the same client tenant.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_cost_to_serve"
    },
    {
      "id": "f_dcl",
      "name": "Diversify Content in Learning Journeys with L&C IP",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Bring Accenture Learning & Capability IP into the Learning Journey content library.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_ets",
      "name": "Enhanced Tooling to Support Talent Strategy",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Tooling that supports broader talent strategy decisions — aggregate dashboards, comparison capabilities, talent-decision workflows.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_dil",
      "name": "Dashboard Insights & Content for Line Managers",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Line-manager focused dashboards with insights and recommended content tailored to their teams.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_talent_strategy"
    },
    {
      "id": "f_bsf",
      "name": "Base SAP Success Factors Integration",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Extend HRMS integration pattern from Workday to SAP SuccessFactors. Reuses the integration framework established in the Workday POC.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_hrms"
    },
    {
      "id": "f_acf",
      "name": "Align CF upload to features",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Align Custom Framework upload tooling to the broader feature roadmap.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_brand_alignment"
    },
    {
      "id": "f_cpt",
      "name": "Combine project types to ease delivery",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Combine project types so delivery is simpler — e.g. Psychometric and 360 in a single project.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_cost_to_serve"
    },
    {
      "id": "f_dra",
      "name": "Data Retention Automation",
      "objectiveId": "obj_bigger_deals",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Automate data retention rules at scale — moving from manual hygiene to policy-driven enforcement.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_brand_alignment"
    },
    {
      "id": "f_jpn",
      "name": "Full Platform Translation in Japanese",
      "objectiveId": "obj_routes_to_market",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Full platform translation into Japanese including native AI profile summaries — opens the T&O market in Japan and validates our localisation pattern. Shipped in Release 73.0 (April 2026).",
      "releaseIds": [
        "rel_73"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_jpn_launch"
    },
    {
      "id": "f_tpf",
      "name": "Tenant & Privacy Features for Internal Accenture Use",
      "objectiveId": "obj_routes_to_market",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Tenant and privacy features that enable internal Accenture use of YSCQ — supports MD rollout for FY27.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_accenture_hr"
    },
    {
      "id": "f_gtc",
      "name": "Global T&C / Privacy Update",
      "objectiveId": "obj_routes_to_market",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Updated terms & conditions and privacy notices to support new internal-client patterns.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_accenture_hr"
    },
    {
      "id": "f_cap",
      "name": "Custom Analytics Packages",
      "objectiveId": "obj_routes_to_market",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Productised custom analytics packages — distinct, monetisable analytics offerings beyond the core platform.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_to_asset"
    },
    {
      "id": "f_tai",
      "name": "T&O Asset Integration",
      "objectiveId": "obj_routes_to_market",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Integrating YSCQ with adjacent T&O assets to create combined offerings rather than building parallel capabilities.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_to_asset"
    },
    {
      "id": "f_pua",
      "name": "Proactive User Activation",
      "objectiveId": "obj_routes_to_market",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Drive activation through nudges and proactive prompts rather than relying on user-pull behaviour.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_accenture_hr"
    },
    {
      "id": "f_stl",
      "name": "Separate test / output / service line localisation",
      "objectiveId": "obj_routes_to_market",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Decouple test, output and service-line localisation so each can be regionalised independently.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_jpn_launch"
    },
    {
      "id": "f_afr",
      "name": "AI Driven Focus Area Recommendations",
      "objectiveId": "obj_differentiation",
      "horizon": "now",
      "status": "in-progress",
      "tags": [],
      "description": "AI recommends scales mapped to a leader's focus area, accelerating personalised development pathways.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_ai_consult"
    },
    {
      "id": "f_mci",
      "name": "Mapping Cultural to Individual Development Priorities",
      "objectiveId": "obj_differentiation",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Maps cultural diagnostic data to individual development priorities — aligning team and personal growth.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_culture"
    },
    {
      "id": "f_sac",
      "name": "Sentiment Analysis: Culture Qualitative Data",
      "objectiveId": "obj_differentiation",
      "horizon": "now",
      "status": "shipped",
      "tags": [],
      "description": "Semantic analysis of qualitative culture feedback validates and contextualises quantitative diagnostic results — built into Tableau.",
      "releaseIds": [
        "rel_75"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_culture"
    },
    {
      "id": "f_jdi",
      "name": "Enable JDI Benchmarking in Report Writer",
      "objectiveId": "obj_differentiation",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Bring JDI (Job Demands Inventory) benchmarking into the Report Writer toolset.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_dynamic_bench"
    },
    {
      "id": "f_aic",
      "name": "AI Conversation Engine: AI Coaching",
      "objectiveId": "obj_differentiation",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Conversational AI agent for leaders at scale, using retrieval augmented generation grounded in our learning journey content.",
      "releaseIds": [
        "rel_74"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_ai_consult"
    },
    {
      "id": "f_cfs",
      "name": "Compare Feature to Support Talent Strategy",
      "objectiveId": "obj_differentiation",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Comparison capability across leaders/cohorts to support talent strategy decisions.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_dynamic_bench"
    },
    {
      "id": "f_mfv",
      "name": "Metadata Filter Visualisations to Support Talent",
      "objectiveId": "obj_differentiation",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Visualise data filtered by metadata categories — powering talent decision making with aggregates and breakdowns.",
      "releaseIds": [
        "rel_75"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_impact"
    },
    {
      "id": "f_oc2",
      "name": "Org Culture 2.0 Data (Snowflake > Tableau)",
      "objectiveId": "obj_differentiation",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Org Culture data pipeline modernisation, flowing from Snowflake to Tableau visualisations.",
      "releaseIds": [
        "rel_75"
      ],
      "media": [],
      "draft": true,
      "epicId": "epic_culture"
    },
    {
      "id": "f_idl",
      "name": "Individual Data Linked to Cultural Impact",
      "objectiveId": "obj_differentiation",
      "horizon": "next",
      "status": "in-progress",
      "tags": [],
      "description": "Link individual assessment data to cultural impact metrics — enabling causal storytelling.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_culture"
    },
    {
      "id": "f_ect",
      "name": "Enhanced Culture Transformation Data Collection",
      "objectiveId": "obj_differentiation",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Richer data collection for culture transformation programmes — beyond surveys.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_culture"
    },
    {
      "id": "f_aci",
      "name": "AI Client Insights (aggregate data summaries)",
      "objectiveId": "obj_differentiation",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "AI-generated client-level insight summaries from aggregate data — programme-level storytelling.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_ai_consult"
    },
    {
      "id": "f_eat",
      "name": "Enhanced AI Tooling in Report Writer",
      "objectiveId": "obj_differentiation",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Deeper AI assistance in the Report Writer workflow — drafting, summarisation, framing.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_dynamic_bench"
    },
    {
      "id": "f_pai",
      "name": "Product Analytics to Inform Feature Development",
      "objectiveId": "obj_differentiation",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Product usage analytics that close the loop between feature development and adoption.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_impact"
    },
    {
      "id": "f_apr",
      "name": "Automated Platform Reporting",
      "objectiveId": "obj_differentiation",
      "horizon": "later",
      "status": "not-started",
      "tags": [],
      "description": "Automate the monthly/quarterly platform reporting — replacing today's manual deck preparation.",
      "releaseIds": [],
      "media": [],
      "draft": true,
      "epicId": "epic_impact"
    }
  ],
  "releases": [
    {
      "id": "rel_73",
      "name": "Release 73.0",
      "sprints": "S146, S147",
      "targetDate": "April 2026",
      "status": "shipped",
      "sections": [
        {
          "title": "Key Features",
          "items": [
            "**YSCQ Translated into Japanese:** YSCQ is fully available in Japanese, including native AI profile summaries.",
            "**Assessment Report Flexibility:** Column formatting on custom pages enabled.",
            "Large proportion of capacity attributed to features in future releases e.g. Enhanced Graph Visualisations and AI Focus Area Recommendations."
          ]
        },
        {
          "title": "Data Asset Expansion",
          "items": [
            "**Self-service Analytics Discovery:** Attempting to create an AI driven environment that can enable team members to use NLP to query our data.",
            "**Platform Metrics:** Building data and tables to understand how our users are using our Learning Journey workflows.",
            "**Agentic Insights Discovery:** Discovering automation of E2E insights (from data to dashboard) using Agentic tooling."
          ]
        },
        {
          "title": "In Discovery",
          "items": [
            "**Workflow Optimisations:** Project restructure to better enable scale.",
            "**HR Talent Strategy Tooling:** Develop tooling enhancements and ensuring seamless integration of existing and new tools e.g. Aggregate Talent Dash and Compare."
          ]
        },
        {
          "title": "Infra / Debt Resolved",
          "items": [
            "**Vulnerability Scan Issues:** A number of these have been addressed including URL information sensitivity fixes and HTTP header configurations."
          ]
        }
      ]
    },
    {
      "id": "rel_74",
      "name": "Release 74.0",
      "sprints": "S148, S149",
      "targetDate": "May 2026",
      "status": "on-target",
      "sections": [
        {
          "title": "Key Features",
          "items": [
            "**AI recommended scale selector:** Leveraging AI to recommend scales mapped to a leader's Focus Area.",
            "**Report writer flexibility:** Ability to toggle all sections on/off including Executive Summary, additional formatting styles available and graph placement within a text box enabled. 'Other' questions are also being moved to a separate section to support easier workflows.",
            "**Privacy notice updates:** Updates made to privacy notice for internal clients.",
            "Capacity attributed to features in future release e.g. Multi use link with anonymisation for client custom survey."
          ]
        },
        {
          "title": "Data Asset Expansion",
          "items": [
            "**Semantic Layer in DWH Discovery:** Beginning the steps to building a semantic layer on top of our analytical layer in the DWH. This will allow us to use NLP to query the data and enable self-service analytics within the team.",
            "**Self-service Analytics Discovery:** Using our current tech stack and tooling, we are prototyping a User Interface to enable the Semantic Layer mentioned above. This will allow non-technical users a location to query the data."
          ]
        },
        {
          "title": "In Discovery",
          "items": [
            "**Client custom survey:** Customised labels for 5 and 7 point scale rating along with anonymized user response collection through multi use link.",
            "**AI coaching:** Utilising the learning journey content to create a conversational agent for leaders at scale using retrieval augmented generation."
          ]
        },
        {
          "title": "Infra / Debt Resolved",
          "items": [
            "**Vulnerability issue – Data security:** Encrypt PII data in DB."
          ]
        }
      ]
    },
    {
      "id": "rel_75",
      "name": "Release 75.0",
      "sprints": "S150, S151",
      "targetDate": "June 2026",
      "status": "on-target",
      "sections": [
        {
          "title": "Key Features",
          "items": [
            "**Automatically publish data:** Ability for internal users to automatically publish data to clients saving manual intervention and enable scaled assessments.",
            "**Report templates in report writer:** Creating project level templates for reports that apply across all reports.",
            "**Flexibility in Psychometric/360 reports:** Candidates to participate in 360 projects and dev content added to Psychometric and 360 reports along with custom titles.",
            "**Org culture:** Semantic analysis of feedback with qual data validating quant data built into Tableau."
          ]
        },
        {
          "title": "Data Asset Expansion",
          "items": [
            "**Org Culture Dashboard:** Creating a visual to display qualitative data analytics for our Org Culture Survey. This will create insight from unstructured qualitative data — paired with quantitative assessment data — to enforce drivers and objectives for cultural change.",
            "**Anonymous Survey Data Privacy Requirements:** Enabling a new anonymous survey feature with data privacy support."
          ]
        },
        {
          "title": "In Discovery",
          "items": [
            "**Data extracts:** NLP to extract data from the data warehouse.",
            "**AI assistance focus area writing:** Embedding GenAI to help users to better frame their focus areas in a meaningful and actionable way.",
            "**Metadata visualisation and HR tooling:** Providing aggregates and breakdowns by metadata categories and improving talent decision making tooling."
          ]
        },
        {
          "title": "Infra / Debt Resolved",
          "items": [
            "Ongoing"
          ]
        }
      ]
    },
    {
      "id": "rel_72",
      "name": "Release 72.0",
      "sprints": "S144, S145",
      "targetDate": "March 2026",
      "status": "shipped",
      "sections": [
        {
          "title": "Key Features",
          "items": [
            "**Base Workday Integration:** Initial integration POC delivered for hierarchy and identity sync."
          ]
        }
      ]
    }
  ],
  "epics": [
    {
      "id": "epic_hrms",
      "objectiveId": "obj_bigger_deals",
      "name": "HRMS Integrations",
      "description": "Integrating with major HRMS platforms (Workday, SAP SuccessFactors) so YSCQ data flows into clients' existing HR systems.",
      "color": "purple"
    },
    {
      "id": "epic_talent_strategy",
      "objectiveId": "obj_bigger_deals",
      "name": "Optimising Leadership Talent Strategy",
      "description": "Tools, content, and outputs that help clients turn YSCQ data into concrete talent strategy decisions.",
      "color": "pink"
    },
    {
      "id": "epic_cost_to_serve",
      "objectiveId": "obj_bigger_deals",
      "name": "Reducing Cost to Serve (SaaS Model)",
      "description": "Self-service capability, multi-tenancy, project efficiencies — the moves that get us to a SaaS-shaped delivery cost.",
      "color": "blue"
    },
    {
      "id": "epic_brand_alignment",
      "objectiveId": "obj_bigger_deals",
      "name": "Complete Alignment to Accenture Brand",
      "description": "Bringing platform behaviour, data handling, and outputs in line with Accenture's brand and policy standards.",
      "color": "teal"
    },
    {
      "id": "epic_ai_coaching",
      "objectiveId": "obj_bigger_deals",
      "name": "AI Augmented Coaching and Development",
      "description": "AI capability woven through coaching, development, and the data that underpins them.",
      "color": "orange"
    },
    {
      "id": "epic_reinvention",
      "objectiveId": "obj_routes_to_market",
      "name": "Reinvention Leadership",
      "description": "Productising the Reinvention Leadership framework so it's deliverable through YSCQ at scale.",
      "color": "purple"
    },
    {
      "id": "epic_jpn_launch",
      "objectiveId": "obj_routes_to_market",
      "name": "JPN Launch for T&O Market",
      "description": "Localising the platform — language, outputs, service-line specifics — for the Japanese T&O market.",
      "color": "pink"
    },
    {
      "id": "epic_accenture_hr",
      "objectiveId": "obj_routes_to_market",
      "name": "Enable YSCQ For Accenture HR",
      "description": "The internal Accenture HR use-case: tenancy, privacy, activation. Eat our own dog food.",
      "color": "blue"
    },
    {
      "id": "epic_to_asset",
      "objectiveId": "obj_routes_to_market",
      "name": "T&O Asset Integration",
      "description": "Plugging YSCQ into the wider T&O asset portfolio so it pulls clients in through adjacent touchpoints.",
      "color": "teal"
    },
    {
      "id": "epic_dynamic_bench",
      "objectiveId": "obj_differentiation",
      "name": "Dynamic Benchmarks for Executive Assessment",
      "description": "Benchmarking that adapts to client framework, role level, and context — not one-size-fits-all comparisons.",
      "color": "purple"
    },
    {
      "id": "epic_culture",
      "objectiveId": "obj_differentiation",
      "name": "Contextualise and Activate Culture",
      "description": "Treating culture data as actionable: linked to individuals, transformation, and ongoing programmes — not just a single survey.",
      "color": "pink"
    },
    {
      "id": "epic_ai_consult",
      "objectiveId": "obj_differentiation",
      "name": "AI Driven Consulting and Sales",
      "description": "Using AI to make our consulting motion sharper and our sales motion more data-driven.",
      "color": "blue"
    },
    {
      "id": "epic_impact",
      "objectiveId": "obj_differentiation",
      "name": "Client Impact Analytics",
      "description": "Closing the loop on outcomes — proving and improving the impact YSCQ creates for client organisations.",
      "color": "teal"
    }
  ],
  "horizons": [
    {
      "id": "now",
      "label": "NOW",
      "sub": "H1 FY26"
    },
    {
      "id": "next",
      "label": "NEXT",
      "sub": "H2 FY26"
    },
    {
      "id": "later",
      "label": "LATER",
      "sub": "FY27"
    }
  ],
  "tags": []
}