Agile methods for industry: backlog, retrospective and daily in R&D
Agile methods are not just for software. In R&D, industry and design offices, they reduce delays, rework and development costs - when properly adapted.
Agile methods are not just for software. In R&D, industry and design offices, they reduce delays, rework and development costs - when properly adapted.
An agile method is a project management approach based on short cycles (iterations), continuous collaboration with stakeholders, and ongoing adaptation to change. Born in software development (Agile Manifesto, 2001), agile methods have since spread to industry, manufacturing, R&D and systems engineering.
The core principles remain the same regardless of the domain:
80% of agile project management failures in industry stem from the same mistake: copying IT practices without adapting them. Here are the most common pitfalls:
In software, every sprint produces deployable code. In R&D, a prototype takes weeks to manufacture. Forcing a concrete deliverable every two weeks creates frustration and valueless “fake deliverables”.
Solution: the deliverable is demonstrable progress: test report, risk assessment, interface validation, documented technical decision.
An IT sprint depends only on the team. An industrial sprint depends on suppliers (order lead times), workshops (availability), subcontractors (their own schedule) and test laboratories.
Solution: integrate procurement lead times into cycle planning and anticipate orders 2 to 3 cycles in advance.
In medical devices, aerospace or automotive, every technical decision must be traced. A standard Agile work list does not document “why” a choice was made, making certification impossible.
Solution: replace vague tasks with measurable objectives linked to normative requirements and produce regulatory documentation throughout the cycles, not at the end.
Senior engineers have 20 years of V-model experience. Telling them “we’re doing Scrum now” without explanation triggers immediate and justified rejection.
Solution: don’t talk about methodology, talk about their problems (delays, rework, silos). Show results on a pilot project before rolling out.
Discover how to avoid these pitfalls: Hardware Agility integrates these constraints from the outset.
There is no one-size-fits-all method. The right choice depends on your level of uncertainty, regulatory constraints and team maturity.
| Context | Recommended approach | Learn more |
|---|---|---|
| Uncertain R&D project (TRL 1-4), motivated team | Full Agility: short sprints, iterative POCs | R&D Early Stages |
| Regulated project (medical, aero), imposed milestones | Hybrid management: Agile upstream, V-model for industrialisation | Hybrid Management |
| Cross-functional team, need for structured practices | Adapted Scrum: roles, work list and practices for industry | Hardware Agility |
| Overloaded design office, multiple simultaneous projects | Industrial Kanban: visual flow, WIP limitation | Deploy Agility |
| Leadership / portfolio, multiple projects to steer | Agile@Scale: portfolio governance, cross-project arbitration | Strategic Coaching |
Applying Scrum as-is in industry fails because the context is radically different. Here are the concrete adaptations of SolidScrum compared to standard IT Scrum:
| Criterion | IT Scrum | SolidScrum (industry) |
|---|---|---|
| Sprint duration | 2 weeks (fixed) | 2-4 weeks (adaptable to deliverable) |
| Sprint deliverable | Deployable code | Demonstrable progress (test report, POC, validation) |
| Work unit | User Story ("As a... I want...") | Measurable Objective: precise, domain-specific, verifiable with evidence. "Validation resistance 85°C +/- 1°C" not "As a quality manager I want a report". |
| Backlog | Prioritised by business value | Prioritised by technical risk + value + regulatory constraints |
| Team | Developers, testers, UX | Mechanical, electronics, embedded software, quality |
| Sprint Review | Software demo | Demonstration of concrete progress (prototype, test, TRL) |
| Dependencies | Git branches, CI/CD | Suppliers, workshops, order lead times |
| Traceability | Optional | Integrated (ISO, GMP, DO-178C) |
| Rollback | Easy (Git revert) | Costly (re-manufacturing, re-testing) |
Results depend entirely on the quality of adaptation. “Copy-paste IT” agile methods fail. Agile methods designed for industry produce measurable gains within 3 to 6 months: reduced rework at integration, faster decisions, better stakeholder visibility.
The key factor is not the chosen method, but the ability to adapt it to field realities: supplier lead times, workshop constraints, certification requirements, team culture.
Measured gains from our clients | Case studies | Testimonials
The most common ones outside IT are: hybrid Agile + V-model management (for regulated projects), SolidScrum (adaptation of Scrum to industrial deliverables), industrial Kanban (flow management in design offices) and Lean Engineering. The choice depends on context: team size, standards to comply with, organisational maturity.
Yes, and that is where they add the most value. R&D projects are inherently uncertain: agile methods allow you to validate technical hypotheses through short iterations instead of planning everything upfront based on assumptions. Documented results: -10% costs (Airbus), +25% productivity (IMV Technologies).
The V-model plans all phases upfront (specification, design, implementation, validation). Agile development progresses through short iterations with frequent delivery. In industry, the two complement each other: Agile for uncertain phases (exploration, feasibility), V-model for industrialisation where requirements are stabilised.
A pilot project produces measurable results within 3 to 6 months. Initial training takes 2 days. On-site coaching helps the team adapt practices to their context. Enterprise-wide deployment then happens in successive waves.
Yes. Agility is not the absence of process, it is a different way of executing them. Regulatory deliverables (technical files, traceability matrices, validation plans) are produced iteratively instead of being assembled at the end of the project. Compatible with ISO 9001, ISO 13485, GMP, DO-178, EN 9100.
Measured gains from our clients: development cost reduction (-10%), productivity increase (+25%), time-to-market reduction (-15 to 30%), less rework at integration, better team engagement. ROI is visible within 3 to 6 months on a pilot project.
SAFe is a high-level organisational framework designed for large-scale IT portfolios. In industrial R&D, it often proves counterproductive: its heavy governance adds bureaucracy without addressing shop-floor realities (prototypes, supplier lead times, regulatory constraints). Our recommendation: first establish concrete agility at team and process level, then consider scaling only once teams are autonomous and delivering measurable results.
Yes. Agility does not mean abandoning process - it means executing regulatory requirements iteratively. Deliverables such as risk analyses (ISO 14971), design history files, validation protocols (IQ/OQ/PQ) and traceability matrices are built progressively within each sprint. Compatible with ISO 9001, ISO 13485, GMP, DO-178C and EN 9100.
Industrial Kanban visualises the design office workflow on a board (columns: to do, in progress, waiting for supplier, in test, done). The key rule: limit work in progress (WIP) to prevent the team from juggling too many topics. In hardware, adding a "waiting for supplier" column makes bottleneck #1 visible. Kanban is ideal for R&D teams managing multiple projects in parallel who cannot commit to fixed-length sprints.
The classic 15-minute daily sync does not work in hardware when the team is waiting for parts or test results. The adaptation: switch to a twice-weekly 20-minute sync focused on three questions: what technical risk did we mitigate? what is the next demonstrable deliverable? what is blocking progress? Avoid the round-robin format (pointless when work progresses by weeks, not hours). Use a continuously updated visual board rather than a daily verbal check-in.
In industrial R&D, the Product Owner is the person who prioritises the project's technical objectives, not software tasks. They decide: which risk to mitigate first? which prototype to build this cycle? which cost-performance trade-off to accept? In practice, this role is often filled by the project manager or technical lead. The key: one person decides work list priorities, based on field data (test results, customer feedback, supplier constraints).
Estimation in hardware uses relative sizing: comparing tasks against each other rather than guessing hours. Story points reflect technical complexity, not duration. The hardware adjustment: factor in procurement lead times (a simple task with a 6-week component delivery must be started 2 sprints ahead). Use planning poker with the cross-functional team to integrate all perspectives (mechanical, electronics, test, procurement).
Multi-site coordination fails when it relies solely on status meetings and emails. What works: short and frequent sync points (20 min, 2-3 times per week) focused on inter-site dependencies, a visual progress board accessible remotely and updated continuously, and a demonstration of concrete progress every 3-4 weeks in which all sites participate. The goal: every site knows at all times what the others are doing and what is blocking them.
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