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Last updated on Mar 15, 2025
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  2. Engineering
  3. Information Architecture

Your team needs to stay current with evolving IA tools and technologies. How do you train them effectively?

How do you keep your team sharp with the latest IA tools? Share your training strategies and tips.

Information Architecture Information Architecture

Information Architecture

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Last updated on Mar 15, 2025
  1. All
  2. Engineering
  3. Information Architecture

Your team needs to stay current with evolving IA tools and technologies. How do you train them effectively?

How do you keep your team sharp with the latest IA tools? Share your training strategies and tips.

Add your perspective
Help others by sharing more (125 characters min.)
17 answers
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    Arjun Anand

    Director of Products Ops | Building Zeetius - Where we bring Sports into Existence!

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    Most teams try to solve this with training sessions. That’s too slow. By the time you roll out a formal session, the tool has changed. Here’s what’s worked better in fast-paced teams I’ve led: ✔One person explores a new tool each week and shares a quick demo or doc internally. It’s low-lift, but creates momentum. ✔We use a simple evaluation sheet for every tool: What’s the use-case fit? How easy is integration? Where can this break? ✔Training is built into our actual workflows. We use short Looms, inline docs, and contextual guidance—not scheduled meetings. You don’t need a training event. You need a system that makes learning automatic.

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    Hamza Saleem

    Co-Founder & CEO | We Build Scalable, AI-Ready SaaS & Healthcare Platforms | Staff Augmentation for Startups & Enterprises

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    To keep your team current with evolving IA tools and technologies, focus on continuous, hands-on learning. Start by integrating regular training sessions that combine foundational knowledge with real-world use cases. Encourage participation in online courses, webinars, and certifications tailored to specific tools. Create a culture of shared learning through internal workshops or “lunch and learn” sessions where team members can present new tools they’ve explored. Pair this with access to sandbox environments for experimentation without pressure. Most importantly, align training with your team’s actual workflows so the learning feels relevant and immediately applicable.

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    Chandra Shekar Hegganur

    Head of Talent Acquisition | Building Maximus.com In India | Mental Wellness Coach | 6K+ Lives Impacted & Counting |

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    Here’s how I help my team stay sharp with the latest tools and thinking: Start small, learn fast We use short, focused learning modules and real-life examples. It’s not just about knowing what a tool does, but how it solves an actual recruiting challenge. Monthly “AI in TA” sessions We get together once a month to demo new tools, share wins and fails, and unpack what’s working and what’s not. AI champions within the team Some of our team members love testing new tech. We give them space to play, and then they teach the rest of us. It builds trust and speeds up adoption. Collaborate beyond TA We work closely with HR tech, analytics, and ops teams so our recruiters know how each tool connects to the bigger picture and the business.

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    David Rodriguez Garcia

    Senior Full Stack Developer | Tech Lead | CTO | API Rest, DJango, Springboot, Nuxt 3 & Vue 3

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    In my opinion, the best thing you can do is hire people with well-developed common sense and continue to train it. This is where AI often falls short. If your people are curious and you give them time to explore tools in their journey, and they have common sense, it's done. How to train common sense is a topic for another day...

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    mohsen abdelwahab

    GL & Fixed assets section head

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    Weekly AI Sharing Session: Keeping Our Team Sharp with AI Tools. The goal of that is: • Learn from each other • Discover new tools or techniques • Share what worked—and what didn’t

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    Marie Weidlich

    Strategic Marketing Leader | Fintech, SaaS & Wealth and Asset Management | Commercial Growth Architect | Brand & Demand Gen Expert | C-Suite Engagement

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    First and foremost: work with the right people. It’s incredibly difficult to shift fixed mindsets—so before hiring, consider whether the person is genuinely open to learning and adaptable to new concepts. That kind of curiosity and flexibility isn’t as common as we’d like to think. Once you have the right team, make the process engaging: embed learning into a real project. This makes it practical, collaborative, and far more effective than passive training—because you’re testing and applying concepts as you go.

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    Eva Murati

    Product Experience @ Honor | Ex-vivo & NIO | China Expertise | Prince2 Project Management & Intercultural Communication

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    To help my colleagues stay current with evolving IA tools, I created a series of short (1-minute) intro videos that highlight key AI features in our products (e.g., smartphones). These videos answer essential questions, show where to find tools, and explain how to use them—eliminating the "no time to learn" excuse. They’re designed to educate both internal and external teams and boost AI awareness. I also actively support continuous learning and promote a culture of open knowledge sharing to spark curiosity and collaboration. It's always powerful to inspire—and be inspired.

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    Bhavanishankar Ravindra

    Breaking barriers since birth – AI and Innovation Enthusiast, Disability Advocate, Storyteller and National award winner from the Honorable President of India

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    To keep my team current with evolving Information Architecture tools and technologies, effective training is paramount. I will identify relevant emerging platforms and immediately provide structured, hands-on workshops tailored to our specific IA workflows. I will allocate dedicated learning time, treating it as a project task. Crucially, I would foster internal knowledge-sharing sessions, where team members demonstrate new tool efficiencies or best practices. We would apply new tools to pilot projects, allowing practical experience in a low-risk environment. This continuous, practical approach ensures proficiency, enabling us to leverage cutting-edge tools to design more intuitive and effective information systems for our users.

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