When your organization runs dozens – or even hundreds – of studies each year across brands, categories, and markets, it's easy for insights to become siloed or overlooked. A centralized insights library helps ensure that past research continues to serve future decisions, creating a common foundation that everyone can tap into.

The Challenge Without Centralized Storage

Without a shared repository, research lives in isolated locations: individual laptops, email attachments, or platform dashboards accessible only to the people who ran the study. This disconnection leads to several common issues:

• Time is lost searching for past research or trying to remember who owns it
• Teams repeat studies unnecessarily, wasting money and delaying decisions
• Insights get presented once and quickly forgotten, rather than driving long-term strategy

The Benefits of a Centralized Knowledge Repository

A well-structured insights library addresses all of the above by serving as a single source of truth for your AYTM research and more. Some key benefits include:

• Faster Decision-Making: Teams can quickly access prior learning related to product, market, or audience segments.
• Cross-Brand Collaboration: Brand teams can learn from each other’s research, avoiding duplication and sharing winning strategies.
• Insight Reusability: Findings from one study can support multiple use cases, like product planning or campaign testing.
• Organizational Learning: Over time, your library becomes a living history of consumer feedback and market understanding – a valuable asset for onboarding, leadership reviews, and strategy development.

Why Structure Matters

Having a central place to store insights is a start – but structure is what makes it usable. It’s not enough to just save decks or datasets. To truly improve efficiency, insights libraries need to be thoughtfully organized, including consistent naming, clear tagging systems, and searchable metadata. This ensures anyone – not just the original researcher – can understand and apply the findings.

Support from On Demand Talent

Even with the right market research tools in place, many teams lack the time or expertise to build and maintain a robust insights repository. That’s where SIVO’s On Demand Talent can make a difference. These professionals bring deep experience in insights organization, tagging frameworks, and tech integration – helping you set up a system that scales with your business, without disrupting day-to-day work. Whether you're organizing dozens of AYTM studies or unifying research across a global insights function, having expert support on hand ensures nothing gets lost in translation.

Once you have a centralized home for your research studies, the next critical step is making sure insights can be quickly found and understood. That’s where tagging comes in. In short, tagging means assigning searchable labels and categories to your findings – helping your team locate the right information, even months or years after the study was completed.

Why Insight Tagging Matters

Think of your insights library like a digital filing cabinet. Without a clear system for labeling, you’ll end up digging through folders every time you need an answer. Tagging is what helps convert data into practical knowledge. When done well, it enables cross-brand teams to:

• Search by topic (e.g., packaging, pricing, messaging)
• Filter by audience segment (e.g., Gen Z shoppers, first-time buyers)
• Browse by objective (e.g., concept testing, usage & attitudes)
• Identify trends over time or across brands

The Best Way to Tag Insights in Research

There’s no one-size-fits-all approach – your tagging system should reflect how your team thinks and works. That said, there are several best practices that help improve consistency and scale:

1. Align with business goals

Start by identifying the core use cases for your library. Are you enabling faster campaign planning? Looking to avoid redundant studies? Make sure your tags reflect what users will be searching for.

2. Create a taxonomy framework

Establish common categories for types of research, topics, audiences, and outcomes. For example:

• Study Type: Quantitative, Qualitative, Hybrid
• Research Objective: Concept Test, Brand Health, Price Sensitivity
• Key Topics: Sustainability, Convenience, Innovation
• Audiences: Millennials, Pet Owners, Online Shoppers

3. Keep it simple and consistent

Avoid overly complex tags or too many variations of the same word (e.g., "Gen Z" vs. "Generation Z"). Consistency across teams allows the system to scale.

4. Integrate directly within consumer insights tools

Many platforms like AYTM allow you to export insights and annotations. Adding consistent tags at the study summary or output level makes it easier to upload into your centralized repository – whether that's a shared drive, a knowledge management platform, or a custom dashboard.

The Role of On Demand Talent in Insight Tagging

Setting up and maintaining a tagging system can feel overwhelming, especially across multiple business units or brands. On Demand Talent from SIVO can help streamline the process – bringing in experienced researchers who understand both how to organize AYTM study results and how to build scalable frameworks that teams will actually use.

More than a short-term fix, these professionals provide guidance on how to maintain consistency, train internal teams, and evolve your tagging strategy as your business grows. By doing so, they ensure your insights library becomes a long-lasting tool for strategy and collaboration – not just a folder of forgotten research.

Once you've begun tagging your findings from AYTM research, the next step is to build a structure that makes your insights library useful across teams and brands. A strong knowledge repository isn't just an archive – it's a living system that supports fast, confident decision-making throughout your organization. But to work effectively, it needs to be thoughtfully organized for different teams to navigate with ease.

Create a Logical Framework

Start by developing a consistent folder or project hierarchy. Useful categories might include:

• Brand or business unit
• Research type (e.g., concept testing, brand tracking, usage & attitude studies)
• Audience segment
• Study goals or business objectives

This setup allows teams to quickly filter by relevant dimensions and see what's already been studied.

Use Consistent Naming Conventions

A small but powerful tactic is to standardize your file and insight titles. For example, a naming structure like “2024_Q2_ConceptTest_BrandX_Millennials” ensures that studies sort clearly by relevance and make searching much faster for busy team members. This is especially helpful when pulling cross-brand insights or compiling trend analyses over time.

Enable Search and Filtering

Whether you're using a platform-integrated tool (such as within AYTM’s system) or a separate system like Notion, SharePoint, or Airtable, setting up filters and search tags can make a big difference. These can include:

• Tags like category, region, audience, or research theme
• Links to summary dashboards or toplines
• Cross-referenced questions or metrics tracked across multiple studies

This makes it easier to uncover connections across business lines – a key benefit of a shared insights library.

Promote Accessibility and Clear Ownership

Your repository should be accessible across departments. That means creating read/write permissions smartly and assigning ownership. Designate a role (or team) responsible for maintaining the repository’s structure, freshness, and usability. This prevents it from becoming cluttered and ensures it continues to support cross-brand collaboration in market insights.

When done right, organizing AYTM study results in a searchable, easy-to-navigate way empowers everyone – from brand managers to product developers – to apply past learning to new challenges.

Building and maintaining an effective market research knowledge repository can be a heavy lift – especially for teams already stretched thin. This is where bringing in seasoned On Demand Talent can make a lasting difference.

Why It’s More Than Just Data Entry

Setting up a user-friendly insights library from AYTM research isn’t about dumping reports into a shared drive. It’s about translating findings into accessible knowledge. Tagging insights thoughtfully, identifying reusable metrics, and designing intuitive libraries takes experience and objectivity. That’s exactly what On Demand Talent brings to the table.

These professionals aren’t freelancers who need onboarding – they are experienced consumer insights experts who know how to:

• Design database architecture for research assets
• Create filters aligned with key business questions
• Tag insights systematically for relevance and usability
• Train internal teams on how to leverage those systems

Support for Short-Term and Long-Term Needs

Depending on your goals, On Demand Talent can step in to support your team in several ways:

During set-up: They can organize your existing research (from AYTM and beyond) into a centralized library with intuitive tagging and cross-brand connections.
For ongoing needs: They can maintain the knowledge base, update taxonomies, or ensure tagging stays consistent amid growing use of DIY market research tools.

Many companies also use On Demand Talent as strategic educators. By embedding within insight teams, they can coach junior teammates, refine tagging practices, and help your entire team better utilize the research tools you’ve invested in. This ensures your knowledge library doesn’t just get built – it becomes a valuable, business-driving asset.

And since SIVO matches you with experts who can start within days or weeks, you avoid the long timelines and onboarding challenges that come with hiring internally or relying on traditional consultants.

Organizing research data for easy access takes system thinking, insight fluency, and the bandwidth to get it done right – and that’s where flexible, expert-led support from On Demand Talent stands out.

As more companies shift toward agile models using DIY market research tools like AYTM, insight teams face new opportunities – and new risks. While DIY platforms offer speed and flexibility, managing that influx of data without the right structure or expertise can lead to inconsistent approaches, siloed findings, and under-leveraged research investments.

Expertise Makes the Difference

DIY tools are powerful in the hands of skilled researchers. But without experienced oversight, even well-designed studies can fall short of delivering strategic value. That’s why expert support is key to future-proofing your DIY research. With the help of seasoned On Demand Talent, you can reinforce quality while scaling efficiently.

Here’s how these professionals support more impactful and sustainable use of DIY research:

• Ensure studies align closely with business objectives and research best practices
• Design tagging and knowledge-sharing systems from the start
• Create repeatable templates and playbooks for continued internal use
• Audit and optimize existing DIY research output for relevance and usability

For example, a fictional CPG brand using AYTM for concept testing across multiple brands may find that each team is structuring questions and tagging findings differently. When an On Demand expert steps in, they can identify inconsistencies, build a unified tagging framework, and teach teams how to standardize insights capture moving forward. The result: a more coherent, searchable, and shareable insights library.

Building Long-Term Capabilities

One of the biggest benefits of working with On Demand Talent isn’t just the operational lift they provide – it’s the knowledge transfer. These professionals don’t just “do” – they help teams upskill and get more out of the technology they use every day. Whether you're focused on how to organize AYTM study results, improve insight sharing across units, or build a bank of cross-brand insights, the support of an experienced partner helps you build smarter systems from day one.

As AI, automation, and self-serve tools continue to evolve, ensuring your research foundation is built right becomes even more critical. With expert guidance, you can make sure your organization isn’t just collecting data – but turning it into lasting, shareable knowledge that fuels better decisions across the business.