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    From project silos to a shared capability system

    Eight people worked across separate medical software projects with different terminology, workflows, product knowledge and regulatory contexts. I built the shared knowledge, capability model, mentor structure and resource planning needed to grow the group into a 35-person professional function that could move expertise between projects, develop new services and support a complex delivery portfolio.
    Organisational designCapability managementWorkforce planningKnowledge governance

    Role

    Test Manager, later Head of Quality Control

    Context

    Matrix organisation, long-term client portfolio

    Sector

    Quality-critical medical software

    Period

    Built from ~2014/2015, mature by ~2022

    8 to 35

    growth of the professional function

    Direct management history

    4 pathways

    professional specialisation paths

    Implemented capability model

    4 to 5

    concurrent projects typically supported

    Operational portfolio

    ~10%

    capacity buffer used as a planning threshold

    Operating principle

    01 · Executive summary

    Growth required a shared operating system

    Around 2014 or 2015, eight professionals were distributed across several software projects in a matrix organisation. Most served the same major client, but each project had its own product knowledge, terminology, daily workflow, leadership expectations and regulatory context. Although the people shared an employer, they did not yet operate as a transferable professional capability.

    Moving someone between projects was difficult for two connected reasons. Product knowledge was deep and slow to acquire, with some complex systems requiring around six months before a newcomer became meaningfully useful. Local process knowledge was equally important; project terminology, team routines, quality practices and working habits differed enough to create a second onboarding barrier.

    The inherited advancement model had another structural weakness. Client-side managers evaluated people using different standards. Some gave positive feedback easily, while others were more critical. Since feedback strongly influenced progression, people with similar capability could hold different levels and salaries.

    I built the new function in connected layers: shared communication, reusable project knowledge, a common capability and progression model, specialisation mentors, resource planning and evidence-supported client proposals. By around 2022, the function had grown to approximately 35 people and supported four to five projects at a time.

    02 · Business problem

    The organisation had capable people, but limited shared capability

    Knowledge trapped inside projects

    People understood their own product and local workflow, but much of that knowledge was unavailable to the wider professional group.

    Long domain ramp-up

    Even an experienced specialist could require around six months to understand a complex product well enough to contribute meaningfully.

    Different local processes

    Terminology, daily routines, quality practices and regulatory expectations differed between projects.

    Inconsistent progression

    Different client-side managers assessed people according to different standards, producing uneven levels and compensation.

    Capability was difficult to see

    There was no common view of professional skills, product knowledge, certifications, interests or readiness for another assignment.

    Demand changed quickly

    Projects had hard delivery and submission milestones. The function needed enough flexibility to respond without maintaining an unsustainable bench.

    03 · Building the shared function

    Team identity, communication and reusable knowledge

    The work began by creating a professional group that could communicate, learn from one another and understand why cross-project flexibility mattered. The measurement model developed alongside this shared foundation.

    01

    Understand the people

    I held individual conversations to understand each person's motivation, interests, personality, preferred work and development goals. Allocation decisions later used this human context alongside capability and project demand.

    02

    Create a shared forum

    A monthly team knowledge-sharing and product-demo session combined company updates, project milestones, future plans, product demonstrations, methods and new technology demos. Presenters volunteered where possible; when needed, I selected someone.

    03

    Turn demonstrations into reusable knowledge

    Presentation materials, tools and demonstrated test environments were shared after each session. A short feedback questionnaire captured clarity, usefulness and requested future topics.

    04

    Record project knowledge

    Projects were expected to document their terminology, workflows, quality and testing practices, local rules and practical onboarding knowledge. This reduced the need for every newcomer to reconstruct the work through informal conversations.

    Capability transformation

    From project silos to shared capability

    Projects continued as distinct delivery units. The change was the professional layer sitting above them, holding shared identity, knowledge, capability and planning.

    BeforeAfterProject Aproduct knowledgelocal terminologyproject workflowregulatory contextProject Bproduct knowledgelocal terminologyproject workflowregulatory contextProject Cproduct knowledgelocal terminologyproject workflowregulatory contextProject Dproduct knowledgelocal terminologyproject workflowregulatory contextFunction leadTest Manager, later Head of Quality ControlShared team routinesProduct knowledge recordsCapability profilesResource planningSpecialisation mentorsProject 1delivery teamProject 2delivery teamProject 3delivery teamProject 4delivery teamKnowledge moves, capability is comparable, allocation is flexible; projects remain distinct.

    Swipe or scroll to explore the diagram →

    Conceptual reconstruction of the implemented operating model. No company or employee data is shown.

    04 · Capability architecture

    One professional foundation, four development pathways

    The capability model allowed people to develop in one or several specialisations, while all pathways rested on a shared manual and analytical foundation.

    Manual and analytical testing

    The professional foundation for understanding requirements, designing tests, identifying risk and analysing product behaviour.

    Automation

    Automation design, scripting, maintainability, tooling, infrastructure awareness and contribution to automated delivery.

    Technical testing

    Performance, hardware and selected security-related capability. Security testing stayed deliberately bounded, because the company chose not to build a dedicated security specialisation.

    Test leadership and management

    Planning, estimation, coordination, stakeholder communication, mentoring, interviewing and leading larger quality and testing assignments.

    Progression levels

    Level 0

    Entry and potential

    Interest, introductory learning and strong potential. Also supported hiring people with high potential but no previous testing background. They were not yet classified as junior professionals.

    Level 1

    Junior

    Approximately six months of practical experience, selected tasks and regular guidance.

    Level 2

    Medior

    Able to complete most normal tasks independently, with experience across different work or projects. Some highly technical tasks may still require support.

    Level 3

    Senior

    Handles the hardest work, contributes to estimation and planning, works across several project contexts and supports colleagues.

    Level 4

    Mentor or expert

    Advises clients, trains colleagues, contributes to interviews, develops methods and helps maintain the career path of the specialisation.

    Capability pathways

    Foundation, pathways and progression at a glance

    Shared foundationManual and analytical testing (Level 2 required before another specialisation can count as primary)Manual and analyticalLevel 0Entry / potentialLevel 1JuniorLevel 2MediorLevel 3SeniorLevel 4Mentor or expertAutomationLevel 0Entry / potentialLevel 1JuniorLevel 2MediorLevel 3SeniorLevel 4Mentor or expertTechnicalLevel 0Entry / potentialLevel 1JuniorLevel 2MediorLevel 3SeniorLevel 4Mentor or expertLeadership and managementLevel 0Entry / potentialLevel 1JuniorLevel 2MediorLevel 3SeniorLevel 4Mentor or expertPeople can progress in more than one pathway. Progression speed varies by person.

    Swipe or scroll to explore the diagram →

    High-level reconstruction of the progression structure. The original company matrix is not reproduced.

    05 · Evidence and progression

    A capability profile built from several evidence sources

    The framework did not depend on a single manager's opinion or on self-assessment alone. Each person's profile combined several types of evidence and was reviewed through structured development conversations.

    Self-assessment

    Team members scored their knowledge against detailed capability statements using a ten-point scale.

    Product knowledge

    People recorded how deeply they understood each complex product and how independently they could work with or test it.

    Allocation history

    Historical assignments and the resource-planning system provided evidence of practical project and role experience.

    Project feedback

    Project managers, teammates and, where available, client stakeholders contributed feedback, especially on soft skills and working behaviour.

    Training and certification

    Relevant training and certifications formed part of progression. Some advancement levels included hard certification requirements.

    Mentor review

    The relevant specialisation mentor joined quarterly development conversations and could challenge, clarify or request evidence for unsupported scores.

    Output

    Capability profile

    The profile informed career-path direction, next development steps, suitable training and certification, project allocation, mentor selection, salary and level calibration, hiring decisions, capability-gap analysis and client-facing aggregated capability evidence.

    Scale note

    1. 01

      Each specialisation contained approximately 40 to 80 capability indicators.

    Evidence model

    How evidence flowed into decisions

    Self-assessmentProduct knowledgeAllocation historyManager, team & client feedbackTraining & certificationMentor reviewCapability profilecombined evidence viewDevelopmentCompensationAllocationHiringClient proposalsTraining priorities

    Swipe or scroll to explore the diagram →

    Conceptual evidence model. No employee data or proprietary scoring formula is shown.

    06 · Resource and service planning

    Capability data supported live management decisions

    The value of the system came from applying it to real decisions. Professional capability showed what someone could do. Product knowledge showed where that person could become useful quickly.

    Cross-project movement

    Staffing options could be presented through structured comparisons of product knowledge, professional skills, certifications and relevant experience.

    People-aware allocation

    Assignments considered project demand, but also motivation, development goals, boredom, team fit and whether a person's skills were being used well.

    Capacity planning

    An approximate 10% bench threshold provided flexibility for sudden demand, internal training and service development while keeping unused capacity within a manageable range.

    Evidence-supported staffing proposals

    Historical tester-to-developer ratios, release scope and testing progress supported negotiations when a project had underestimated its quality and testing needs.

    Experience before client demand

    Internal pilot projects allowed people to gain practical experience with emerging tools and methods before a paying client requested them.

    Service development

    An internally prepared automation demonstration led a client project to request automation support.

    Presenting staffing options to clients

    When proposing a person for a new assignment or suggesting an exchange, I used clearly formatted comparison tables. These showed relevant professional capability, product knowledge, certifications and experience.

    The proposal emphasised what the incoming person could contribute. For example, someone might already understand the product from an earlier assignment while also bringing automation capability that the project wanted to develop.

    This helped move the discussion from attachment to a named individual towards the combination of capability the project needed next.

    Illustrative example using synthetic data

    CandidateProduct knowledgeAutomation capabilityRelevant experienceCertificationBest-fit reason
    Candidate AHighMediumPrevious release on same productYesStrong continuity option
    Candidate BMediumHighAutomation across two projectsYesStrongest fit for building automation
    Candidate CLowHighStrong technical backgroundIn progressLonger onboarding requirement

    07 · Mature operating model

    Central people leadership and distributed capability ownership

    At its mature stage, the function included approximately 35 direct line reports and usually supported four to five concurrent projects. One large project commonly used more than 10 specialists. The remaining projects generally used smaller groups of around three to seven.

    Specialisation mentors owned their professional area without being tied to a fixed management chain. A mentor could step into the role for a period, then step back to focus on delivery or deepen a different skill. This made the model flexible enough to accommodate changing projects, individual careers and the function's changing needs.

    Because mentors were recognised as capability owners rather than operational project leaders, the team could distinguish between professional depth, management accountability and day-to-day project direction. This separation helped the function grow without forcing every senior specialist into a management track.

    Specialisation mentors

    • Manual and analytical testing
    • Automation
    • Technical testing
    • Test leadership and management

    Mentor responsibilities

    • Maintain the specialisation pathway
    • Identify relevant tools, methods and training
    • Join quarterly development conversations
    • Challenge unclear capability claims
    • Support interviews
    • Train and advise colleagues
    • Track emerging professional practices
    • Help prepare future services

    The mentors generally welcomed the responsibility because it gave them time to shape their professional area and support others.

    Recurring operating routines

    Monthly

    Team knowledge-sharing and product-demo sessions

    Quarterly

    Development conversations with mentor input

    When changing projects

    Capability and product-knowledge updates

    Annually

    Full capability review, development goals, budget planning and promotion planning

    Continuously

    Resource allocation, client negotiation, hiring decisions, capability-gap management and service development

    The annual development conversation recorded the person's intended direction, planned learning and development goals for the following year. Quarterly conversations checked whether progress had started and whether the direction still matched the person's motivation. At year end, planned development items were reviewed using percentage completion.

    Operating model

    Three layers, one matrix

    Function leadTest Manager, later Head of Quality ControlLine management · budget · promotions · hiring · portfolio allocation · client advisorySpecialisation mentors (professional ownership, not line management)Manual and analyticalAutomationTechnicalLeadership and managementProject delivery teamsProject 1daily delivery leadershipProject 2daily delivery leadershipProject 3daily delivery leadershipProject 4daily delivery leadershipProject 5daily delivery leadershipRecurring routinesMonthly: team knowledge-sharing and product-demo session  ·  Quarterly: development reviews  ·  When changing projects: capability & product-knowledge updatesAnnually: full capability review, development goals, budget, promotions  ·  Continuously: allocation, hiring, service development

    Swipe or scroll to explore the diagram →

    Conceptual reconstruction of the mature matrix operating model.

    08 · Technology and implementation stack

    The systems behind the capability function

    Sources and evidence

    Self-assessment

    ten-point capability scoring against detailed criteria

    Product-knowledge profiles

    depth of experience across complex software products

    Allocation history

    practical project and role experience

    Manager, team and client feedback

    behavioural and soft-skill evidence

    Capability and progression model

    Four specialisation pathways

    manual and analytical, automation, technical, leadership

    Five progression states

    entry through mentor or expert

    Certification requirements

    hard gates at selected advancement levels

    Documented management overrides

    a reason recorded when judgement differed from the model

    Decision support and planning

    Spreadsheet-based capability model

    individual and team-level calculated views

    Product-knowledge model

    depth of familiarity across complex products

    Resource-planning spreadsheet

    initial project demand and named allocation model

    Power Apps planning application

    later resource and allocation management

    Operating routines and governance

    Team knowledge-sharing and product-demo sessions

    monthly knowledge and technology sharing

    Quarterly development reviews

    goals, motivation and mentor validation

    Annual capability updates

    career-path and training progress

    Budget and promotion cycles

    regular planning integrated with the capability model

    Individual view

    Calculated views helped each person understand:

    • their strongest areas
    • their likely specialisation fit
    • development gaps
    • recommended next steps
    • progress along the career path

    Management view

    The management view supported questions such as:

    • who had the strongest capability in a given area
    • where product knowledge was concentrated
    • who was furthest from the expected compensation or level
    • where certification coverage was weak
    • which people could support a new project or service
    • how much experience the function could demonstrate to a client

    Aggregated charts were also used in client presentations to show average years of experience, certification coverage, depth of professional capability and available specialist knowledge.

    09 · Results

    A function that could grow beyond its project silos

    The function grew from eight people to approximately 35, primarily through expanding demand from a long-standing major client. Growth was supported by a more flexible knowledge model, clearer capability evidence, distributed professional ownership and stronger staffing and service proposals.

    Growth from 8 to 35

    The function grew from eight project-separated professionals to approximately 35 people supporting a portfolio of four to five concurrent projects.

    Evidence · Direct management history

    Greater cross-project flexibility

    Knowledge-sharing routines, product profiles and documented project practices made it more practical to move people between assignments and explain staffing options to clients.

    Evidence · Implemented operating model

    Clearer progression and compensation decisions

    A common capability model gradually gave promotion and salary discussions a shared evidence base. Career pathways became clearer as inherited inconsistencies were reduced.

    Evidence · Management and team adoption

    Distributed professional ownership

    Four specialisation mentors took responsibility for training, methods, interviewing and development reviews, reducing dependence on the function lead for professional capability building.

    Evidence · Implemented role structure

    Internal capability became client-requested work

    An automation capability developed through internal preparation and demonstration was subsequently requested by the client.

    Evidence · Client-requested service

    The model travelled beyond the original function

    The development function later introduced its own related capability application and consulted me about the structure and operation of the earlier model. A former client stakeholder also requested me specifically to help establish a quality and testing function at another medical organisation, creating a new client engagement for my employer.

    Evidence · Internal reuse and external advisory request

    Operational confidence in the model

    As the function matured, I received increasing decision authority over budget planning, hiring, promotions and allocation. My budget and promotion proposals were generally accepted. The client-side testing manager also contacted me directly when new people, staffing changes or clarification of individual capability were required.

    When the client later prepared a broader training plan across its testing organisation and vendors, its testing manager was positively surprised that the supplier function already maintained a structured capability and development plan.

    External engagement

    A former stakeholder from the major client later moved to a medical company and specifically requested me through my employer. The organisation was preparing for European market access and needed to strengthen an inherited team whose members had strong clinical domain knowledge but limited formal software-testing experience.

    I established the direction, assessed the situation, recommended roles, advised on tools and processes and proposed adding a mentor to support the team's professional development. A fuller account of that engagement may be published as a separate case study in future.

    10 · Lessons learned

    What I would carry into the next build

    01

    Shared identity comes before shared measurement

    People contributed to a common capability model because they already felt like one professional group. A model imposed on strangers rarely lands.

    02

    Knowledge recording outlasts knowledge sharing

    Sessions reduced immediate silos, but written project knowledge kept newcomers useful long after the original presenter had moved on.

    03

    Evidence-based progression needs several sources

    Self-assessment, allocation history, feedback, certifications and mentor review together produced a picture no single view could match.

    04

    Judgement should be documented, not removed

    The most useful control was recording why a decision differed from the model, not automating the decision away.

    05

    Transparency has to be phased

    Publishing the full calibration model before inherited inconsistencies were reduced would have presented the past as the intended target state.

    06

    Distributed ownership scales the function

    Mentors carried the professional pathway so the function lead could stay focused on portfolio, hiring and client conversations.

    The Neurocroft method

    The same six moves we apply to any organisational friction

    Notice

    A capable group could not yet act as a shared capability across projects.

    Understand

    Mapped how knowledge, terminology, progression and staffing actually worked, project by project.

    Simplify

    Reduced progression to four pathways and five clear states resting on a shared foundation.

    Connect

    Linked evidence sources, mentors, planning and client-facing proposals into one operating model.

    Amplify

    Distributed professional ownership through specialisation mentors and structured routines.

    Evolve

    The function grew from 8 to ~35 and the model was reused inside and beyond the original organisation.

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