Why this comparison is different from the others
There are dozens of e-learning authoring tool comparisons out there. Most evaluate the same variables: richness of interactions, templates, ease of use, price, SCORM compatibility. These are legitimate criteria for evaluating content-production capability.
But none measure what actually determines ROI: once the learner has clicked Complete, what's left in their memory at Day 7, Day 30, Day 90? This guide tackles that question. And the answer radically reshuffles the tool ranking.
E-learning authoring tool: software that lets a non-developer create training modules exportable to SCORM, xAPI or HTML5. The four tools analyzed here, Rise 360, iSpring Suite, Captivate and Cards, belong to this category, with fundamentally different philosophies.
The science behind choosing an authoring tool
The forgetting curve: 140 years of replicated results
In 1885, psychologist Hermann Ebbinghaus documented what would become one of the most replicated findings in psychology: retention of information decays exponentially without reactivation. By Day 1: 70% forgotten. By Day 7: 90%. By Day 30: less than 5%. This phenomenon, the forgetting curve, is independent of content quality and learner motivation. It's simply how human memory works.
The spacing effect
The scientific answer to the forgetting curve is called the spacing effect. Several short sessions spread out over time produce significantly better retention than one long session of the same total duration. The meta-analysis by Cepeda et al. (2006), published in Psychological Bulletin across 254 studies and 14,000 participants, confirms retention gains of 200% to 400% with spacing.
The testing effect
Roediger & Karpicke (2006), in Psychological Science, showed that being quizzed on content improves retention more effectively than rereading it. Recall exercises aren't assessment tools: they are the training.
The classic-authoring-tool paradox
Rise, iSpring, Captivate are built around a single-session paradigm: the learner opens the module, consumes it, completes a final assessment. This model ignores the forgetting curve; no reactivation mechanism is planned after the session.
With no reactivation mechanism, nearly all of the knowledge delivered disappears before the learner is even faced with a situation requiring it. Ebbinghaus (1885), replicated 100+ times since.
Full comparison: 16 criteria, 4 tools
| Critère | Cards | Rise 360 | iSpring | Captivate |
|---|---|---|---|---|
| Création et formats | ||||
| Micro-learning natif (<10 min) | ✓ Conçu pour | ◑ Possible | ◑ Adapté | ✗ Non natif |
| Diversité formats pédagogiques | ✓ 9 formats natifs | ✓ Blocs riches | ✓ Solide | ✓ Très riche |
| IA de création intégrée | ✓ Génération complète | ✓ AI Assistant | ✓ iSpring AI | ◑ Partiel |
| Simulation logicielle | ✗ Non | ✗ Non | ✓ Oui | ✓ Référence |
| Scénarios ramifiés complexes | ◑ Basique | ✓ Storyline (avancé) | ✓ Oui | ✓ Oui |
| DIFFUSION ET COMPATIBILITÉ | ||||
| Export SCORM 1.2 & 2004 | ✓ Oui | ✓ Oui | ✓ Oui | ✓ Oui |
| App mobile apprenants native | ✓ iOS & Android incluse | ✗ Via LMS tiers | ✗ Via LMS tiers | ✗ Via LMS tiers |
| Intégration Microsoft Teams native | ✓ Oui | ◑ Partielle | ◑ Partielle | ✗ Non |
| Ancrage et Rétention : L'impact différenciant | ||||
| Mécanisme d’ancrage intégré | ✓ Learning Routine® | ✗ Absent | ✗ Absent | ✗ Absent |
| Répétition espacée automatisée | ✓ Algo propriétaire | ✗ Non | ✗ Non | ✗ Non |
| Mesure de rétention à J+30 | ✓ Par apprenant & module | ✗ Complétion seul. | ✗ Complétion seul. | ✗ Complétion seul. |
| EXPÉRIENCE, DÉPLOIEMENT ET COÛT | ||||
| Interface en français native | ✓ 100% français | ✗ Principalement anglais | ◑ Partiel | ◑ Partiel |
| Prise en main autonome <1 jour | ✓ Oui | ◑ Rise oui / Storyline non | ✗ 2-5 jours | ✗ Plusieurs semaines |
| Tarif annuel / auteur (indicatif) | Sur demande | ~1 500 € / an | ~900-1 200 € / an | ~1 300 € / an |
| Adapté PME / ETI françaises | ✓ Oui | ◑ Coût élevé | ✓ Oui | ◑ Coût élevé |
Legend: ✓ native · ◑ partial or conditional · ✗ absent. Indicative 2025-2026 pricing.
Detailed profile of each tool
Cards
Cards is a French microlearning platform built around one central conviction: producing content isn't enough if that content doesn't anchor in learners' memory. The platform natively integrates creation (9 native formats, AI in 2 minutes), multi-channel delivery (web, iOS & Android mobile app, Teams, SCORM) and the proprietary Learning Routine® anchoring engine, with automatic, adaptive spaced reminders, zero configuration. Cards is the only tool in this comparison that exposes real Day 7 and Day 30 retention per learner.
Strengths
- The only tool with native cognitive anchoring (Learning Routine®)
- Day 7, Day 30 retention rate per learner
- iOS & Android mobile app included
- 9 native pedagogical formats
- Full generative AI
- 100% French interface
- Native Teams integration
- SCORM 1.2 & 2004 export
Limitations
- Not suited to software simulation
- Limited complex branching scenarios
- Not suited to long formats (60+ min)
- No virtual reality module
Articulate Rise 360
Launched in 2017 by Articulate, Rise is probably the most widely used e-learning authoring tool in the world. It excels at quickly creating beautiful, responsive modules via a block-based system. Main blind spot: no native anchoring mechanism. Analytics measure completion, not retention. High price and a mostly English interface.
Strengths
- Very fast module production
- Responsive, multi-device modules
- 1,000+ professional templates
- Strong AI Assistant
- Real-time team collaboration
Limitations
- No anchoring mechanism
- Mostly English interface
- High price (~€1,500/user/yr)
- Analytics limited to completion
- No mobile app
iSpring Suite
An e-learning suite built into Microsoft PowerPoint. Main asset: converting existing PPT catalogs into e-learning modules without switching tools. Excels at dialogue simulations for sales training. No native anchoring or spaced-repetition mechanism.
Strengths
- Native PowerPoint integration
- Fast PPT conversion
- Sales dialogue simulations
- More affordable pricing
Limitations
- Dependent on PowerPoint / Windows
- Not suited to native microlearning
- No native anchoring
Adobe Captivate
The go-to for software simulations (ERP, CRM, internal tools), 360° virtual reality and highly complex adaptive scenarios. Very powerful for specific use cases, but a long learning curve, not suited to microlearning, no native anchoring mechanism.
Strengths
- Advanced software simulation
- Virtual reality and 360°
- Highly complex scenarios
- Advanced WCAG accessibility
Limitations
- Long learning curve
- Not suited to microlearning
- No native anchoring
- Overkill for most use cases
Decision guide
Anchoring and long-term retention
- Onboarding for complex procedures or products
- Lasting regulatory compliance
- Recurring sales training
- Training ROI to justify to the executive committee
Fast production and volume
- High module volume every month
- A team of instructional designers
- Responsive modules as a priority
- Multi-author collaboration
Digitizing your PPT catalog
- A large existing PowerPoint catalog
- Non-technical trainer-authors
- Sales dialogue simulations
- Tight budget
Technical simulation and VR
- Software simulation (SAP, Oracle)
- Virtual reality training
- Highly complex branching scenarios
Cognitive anchoring: the 4 key mechanisms
Spaced repetition
Reactivating content at growing intervals consolidates the memory trace. Cepeda et al. (2006) meta-analysis (254 studies, 14,000 participants): +200% to +400% improvement vs. a single session.
Active recall (testing effect)
Roediger & Karpicke (2006): learners tested a week later get +50% retention vs. those who just reread. Quizzes anchor; they don't just assess.
Interleaving
Alternating different types of content during reminders improves retention and transfer. Rohrer et al. (2015) document +43% vs. blocked practice.
Micro-dosing
5-10 minute sessions repeated over time are more effective than a single long session. Cards generates 10 minutes of average engagement per session.
The cost of forgetting
If 70% of content is forgotten by Day 1, memorized value represents less than 30% of your production investment. For a €5,000 module: you pay €5,000, you get €1,500 of real memorized value. The historical benchmark, Bryan Chapman (Brandon Hall Group, 2023), estimated an average of 197 hours (28 days) to produce 1 hour of standard e-learning. With generative AI, that ratio is now outdated: per the 2026 ISTF survey (460 French training professionals), 33% of designers now use AI in their practice (the #1 priority for 30% of training departments, +4 points in one year). Ratios observed in 2026 range between 60 and 100 hours per hour of e-learning, or about 14 days instead of 28. With Cards AI, 5 microlearning courses are produced in 10 to 45 minutes by subject-matter experts themselves.
An organization investing €200,000/year in training with no anchoring produces real memory impact of €40,000 to €60,000 at 30 days. The same budget with Cards anchoring: €160,000 to €180,000 of memory impact.
The real question isn't "which tool produces the best modules?" but "which tool produces training that adapts to your teams' pace and challenges?"— Matthieu THOMAS, co-fondateur Cards · Dir. Learning & Devlopment
Frequently asked questions
Yes. Cards can run alongside your existing authoring tool: produce new native microlearning content in Cards for topics where retention matters most, while keeping Rise or iSpring for long modules or volume production.
Rise's AI Assistant speeds up content production. It doesn't solve the structural problem: once the module is published, there's still no anchoring, no spaced repetition, no 30-day retention measurement.
Yes. Meta-analyses across 800+ studies confirm significant effects in varied contexts (Cepeda et al., 2006; Donovan & Radosevich, 1999). Duolingo regularly publishes data on millions of adult users confirming its effectiveness at scale.
Sources and references
- Ebbinghaus, H. (1885). Uber das Gedachtnis. Duncker & Humblot, Leipzig.
- Cepeda, N.J. et al. (2006). Distributed practice in verbal recall tasks. Psychological Bulletin, 132(3), 354-380.
- Roediger, H.L. & Karpicke, J.D. (2006). Test-enhanced learning. Psychological Science, 17(3), 249-255.
- Chapman, B. (2023). How Long Does It Take to Create Learning? Brandon Hall Group Research.
- ISTF (2026). Les chiffres clés du digital learning, 12e édition. Enquête ISTF auprès de 460 professionnels de la formation.
- Taylor, D.H. (2026). L&D Global Sentiment Survey 2026: Into the unknown. donaldhtaylor.co.uk
- Rohrer, D. et al. (2014). The benefit of interleaved practice. Psychonomic Bulletin & Review, 21(5).
- Kapp, K.M. & Defelice, R.A. (2019). Microlearning: Short and Sweet. ATD Press.