Inside Insight: How I use Condens to avoid repetitive research

A practical workflow for turning past projects into reusable research

👋🏻 Hi, this is Nikki with a free article from the User Research Strategist. I share content that helps you move toward a more strategic role as a researcher, measuring your ROI, and delivering impactful insights that move business decisions.

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A client brought me in to lead a new research project.

They were gearing up to explore onboarding friction again. But as I settled in, I started digging through past files and realized they’d already researched it. Multiple times. Interviews, usability tests, journey maps, their team had been asking the same questions for over a year.

The insights were there. The problem was no one knew where they lived, what was still relevant, or how to reuse them. Rather than running another redundant study, I proposed that we instead build a secondary research hub, something lean, flexible, and immediately useful. This is not always a fun game to play within the scope of consultancy, but I had worked with this team before.

I sat down and created a proposal for this new project, re-scoped, pitched it, and viola. We went from a project about onboarding friction to creating a research hub.

Using Condens, I pulled together findings from five relevant past studies and turned them into a browsable, shareable insight magazine. Within a week, stakeholders were referencing it in meetings. Within a month, it had prevented at least two unnecessary research requests.

In this article, I’ll walk you through the exact steps I took, from curating studies to tagging themes to building and sharing the Insight Magazine. You’ll get everything:

• What I tagged (and what I didn’t)

• How I structured the board

• What language got stakeholders to actually use it

• And how you can replicate the process yourself

If you’ve ever suspected your team is sitting on underused research, this is how to bring it back to life.

What you’ll need

Before you start, here’s what to gather:

1. A tool, if you want, you can grab a 30-day free trial of Condens to use here

2. Past research

3. A list of two to four common recurring research themes/questions

This whole process can take about 15-20 hours (sometimes more depending on how much research you want to use), but it’s definitely worth the effort.

Step 1: Curate What Matters First

Your goal: Identify and gather six to eight high-leverage past research studies to form the backbone of your hub.

Most researchers fail before they even start because they try to import everything at once. At least that’s what I did when I first started putting together research hubs and repositories. I’d start from the study we did about two years ago and work through everything until I got to the latest.

Calling that process a slog is a complete and utter understatement.

I quickly realized that building something like this, especially if you are doing for a contract role, is not immediately about completeness, but rather about building a lean, strategic hub that makes past research usable as quickly as possible.

And that means choosing which research you start with wisely. When doing this, I typically look for:

• Studies that answer repeat questions

• Research that still feels relevant

• Insights that can influence planning, design, or prioritization decisions today

• Something we already have that teams are continuously asking about

Instead of thinking about it like, “What have we researched?”, I try to instead ask myself, “What questions do stakeholders keep asking me that I know we’ve partially answered before?”

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Identify Recurring Stakeholder Questions

The first step that makes this easier is to think about what questions constantly are coming up for stakeholders. These are usually:

• Questions that come up during roadmap planning

• Topics that pop up in Slack or team comments

• Themes that span multiple teams (onboarding, trust, navigation)

• Anything you’ve been asked about more than once

Some examples of questions I’ve heard that commonly crop up across different teams and organizations include:

• “Do we know why users drop off after signup?

• “What’s the biggest barrier to trust for new users?

• Have we ever researched how people use feature X?

• What did users say about [problem area] in past studies?

When you’ve gone through and found the most common questions that keep repeating yourself (bonus points if you keep sending the same deck to the stakeholders that they clrealy aren’t reading), create a quick table like this in Notion, Google Sheets, or even a Miro board:

If you don’t know any projects off the top of your head that apply, you can either leave it blank or consider it as a future project. This is actually a great exercise in being able to answer the question of if you actually have to do new research for a particular question.

I usually aim to have about three recurring questions at the end of this exercise. If you have more than that, I would recommend trying to prioritize the top three yourself (think about the ones that answer the most pertinent questions in your organization or the questions that impact several teams) or, even better, engaging your stakeholders in the process and having them vote on the top three.

If you are able to engage your stakeholders, try asking:

“Hey [name], I’m building a mini hub to help us reuse past research more effectively.

Are there any topics you feel like we’ve already researched but can never find when you need them?”

Find the Source Studies

Once you have your big questions, it is time to find studies that help answer those questions. These come in the form of:

• Usability test reports

• Interview transcripts

• Presentation decks with quotes

• Journey maps

• Personas

• CSAT verbatim collections

• Anything with direct user quotes or summaries of findings

I recommend not (yet) including:

• Raw video files without notes

• Surveys with only quantitative data

• Exploratory docs without direct evidence

Ideally we want to start with studies that are already more easily digestible, so more like deliverables than raw data.

I typically will go through old slack messages, emails, drive folders, past repositories that may have failed, and ask around to make sure I find as many sources as I can for one particular question. I see this step as quantity over quality, as that comes in the next step.

Select Only the Most Relevant Studies

Once you gather the studies for wach question, it’s time to look at the quality and relevancy of the data. Not all reports are created equal and not all research is stellar. I’ve actually cringed at some of the reports I created at the start of a role versus a year or two in.

When you go through each source, you can ask yourself:

• Do I have at least one study that provides a partial or full answer?

• Is it recent enough that the data still applies?

• Does it include direct quotes or clear findings?

• Would a stakeholder benefit from seeing this again?

Use a scoring system like this (optional):

You’re aiming to end this step with about two to three relevant studies maximum per recurrent stakeholder question from above.

This step made a huge difference for me because I was no longer trying to simultaneously shove all the data we had into our hub and, instead, was only picking the things that were most relevant and actually had a place within the hub. You’d be surprised at the number of outdated studies out there. Usability tests can become obsolete pretty quickly if you work at a fast-paced organization. The ones that are no longer relevant, you can put aside.

What you should have now:

• A list of six to eight high-impact research studies

• Each mapped to a real, recurring question stakeholders ask

• Each study containing direct quotes or insight summaries

Step 2: Import Studies into Condens

Your goal: Get your past work organized in one place, cleanly, clearly, and without overthinking.

Your goals are to take the studies you selected in Step 1 and bring them into Condens (or another tool) so:

• They’re searchable

• You can tag quotes and themes later

• They’re accessible in a way stakeholders can actually explore

Remember that you’re not uploading for archiving, you’re uploading to reuse. That means:

• Clear naming

• One project per topic

• Structure that supports tagging + exploration

What You’ll Be Importing

Most researchers have messy, mixed files. Here’s how I recommend handling each format:

One “Project” per original study

Each project can contain 1–n sessions (depending on how it was run), for example:

• Project: 2023 Usability Test – Signup Flow

  • Session 1: Participant A (notes or transcript)

  • Session 2: Participant B

  • Session 3: Research summary deck

• Project: Onboarding Diary Study – June

  • Session 1: Week 1 notes

  • Session 2: Week 2 synthesis

  • Session 3: “Top quotes” from client wrap-up

Don’t overthink structure, just match how the research was originally run.

Naming Conventions

Use: [YEAR] [Project Type] – [Topic]

Examples:

• 2024 Usability – Signup

• 2024 Interviews – Trust Signals

• 2023 Diary Study – Onboarding

This makes it easier to sort and tag later. What I sometimes do is ask stakeholders to vote on a naming convention or I will share this naming convention with them so they are easily able to understand how I’ve thought about the structure.

How to Import Each Type

PDFs (Slide Decks, Reports)

1. Go to New Project in Condens

2. Title your project clearly

3. Add a new Session, and drag the PDF in

4. If there are quotes in the PDF, use highlight + tag immediately

5. If not, extract relevant text into a new text-based session (“Top quotes from report”)

Google Docs / Notion Text

1. Open a new Session inside the Project

2. Copy-paste the text from your doc into the session

3. Format headers and speaker labels if needed

4. Add a short note in the “Session description” field about what this doc includes (“Post-study notes, not cleaned transcript”)

If you’re importing notes that aren’t clean, highlight only the strongest quotes or summaries.

Raw Text Notes or Spreadsheets

1. Export your spreadsheet as a .txt or .docx

2. Open a new Session → Upload or paste in

3. Break into sections if needed (each participant gets its own Session)

4. Immediately scan for quotes you’ll want to tag

Video Recordings (optional)

If you have interviews stored in tools like Zoom, or Google Drive:

• You can link or upload videos into Condens

• If transcription is available, use it

• If not, either skip or add timestamped notes manually

Don’t upload all your videos unless you plan to use them. If no one’s going to watch it, skip it.

Bonus: Add Session Descriptions

Each session in Condens has a description field. Use this to give future-you (or a stakeholder) fast context using this format:

“Summary notes from final week of onboarding diary study. Includes key frustrations and 3 quotes on mobile experience.”

Add a 1-2 sentence summary for each Session you import. Pretend you’re writing it for a teammate who wasn’t there.

Try to avoid…

• Uploading one giant PDF with no tagging → split it into quote-friendly chunks

• Using vague project names like “User Interviews” → add context

• Trying to structure a perfect taxonomy now → wait until you tag in Step 3

• Skipping session summaries → you’ll regret it later

Step 3: Tag and Extract Key Quotes

Your goal: Create a reusable evidence layer that connects multiple projects via themes.

A tagging system can either make your research useful or forgettable. I've seen both. I've worked on projects where the tags helped teams find answers quickly. And others where tags were vague or overcomplicated and no one could find anything. I've spent hours digging through Notion and Slack trying to track down a quote I knew existed somewhere.

If you're building a secondary research hub in Condens, this is where structure starts to matter. Tagging is what turns raw quotes into something others can actually use. Here's how I approach it, even when starting from scratch.

What Makes a Great Tag?

A great tag is:

• Thematic (about meaning, not metadata)

• Stakeholder-readable

• Consistently applied across studies

• Short and specific

Example Tag Set I Used:

Avoid vague tags like:

• “Insight”

• “Feedback”

• “Pain Point”

These don’t help your future self or anyone else navigate meaningfully.

The Two Kinds of Tags I Use

Global Tags

These apply across research. They're the labels that show up again and again. They let me pull insights from different projects using a common language.

These are the ones I return to most often:

• Pain Point

• Bug

• Usability Issue

• Need

• Goal

• Motivation

• Competitor Mention

• Habit / Task

• Feature Request

I use these to ask questions like:

• What bugs have come up in the last three studies?

• Where do users mention unmet needs?

• Are there common tasks they struggle to complete?

Project-Specific Tags

These come from the content of a single study. They're shaped by what comes up in that work and don't need to show up again elsewhere.

From a travel study, I tagged:

• Instagram Inspiration

• Review Trust Issues

• Language Barrier

• Local Navigation Stress

Project tags are more detailed and short-lived. Global tags provide the structure to see across studies. I use both.

Should I Tag This?

Not every quote deserves a tag. In fact, most of them don’t. A good tag is like a good quote, it tells you something real, relevant, and repeatable.

Here’s the decision tree I use every time I tag a quote:

1. Does the quote answer a real stakeholder question we’ve heard more than once?

   1. YES → Tag it

   2. NO → Go to 2

2. Does it reflect a moment of confusion, hesitation, or delight from the user?

   1. YES → Tag it

   2. NO → Go to 3

3. Does this contradict something we’ve assumed to be true?

   1. YES → Tag it

   2. NO → Go to 4

4. Is it a strong example of a broader pattern or theme we’ve seen in other studies?

   1. YES → Tag it

   2. NO → Go to 5

5. Would I reuse this quote in a meeting, brief, or presentation?

   1. YES → Tag it

   2. NO → Skip tagging

Some examples

Here are a few examples of quotes and tags I’ve used in the past:

Example one:

“I assumed when I clicked ‘Instant Pay’ that it would transfer immediately, but then I got an email saying it’d take 24 hours…so I didn’t trust it anymore.”

Tag:

• Feature Confusion

• Trust Signal Broken

• Mental Model Gap

Annotation:

“This user expected immediate transfer based on the feature name. The delay broke trust.”

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Example two:

“I loved that it let me skip steps if I’d done them before. That felt really respectful.”

Tag:

• First-Time Wow Moment

• Efficient UX

Annotation:

“Captures an emotional reaction to optionality in the flow. This showed up in 3 other studies too.”

How Many Tags Per Study?

I aim for three to five great highlights per session. That’s usually enough to represent what happened without overloading the system. For an entire project, I usually land around 10–15. If I get close to 30, I take a breath and re-evaluate.

If you are struggling ask if you would I use the highlight in a meeting? Would you pull the quote into a deck? If not, skip it.

Tag what you’d reuse, not everything that’s interesting.

How I Test Tags with My Team

Before I ship any tagging system, I pressure test it with the people who will be using it. I use the following methods to help me build and test a good tagging system that my stakeholders will understand.

1. 1:1 Interviews

I sit down with a couple of PMs, designers, or anyone who relies on research. I show them some quotes and ask:

• How would you search for this?

• What words would you use to describe this theme?

• Does this label make sense to you?

This helps me catch jargon and assumptions I didn’t know I was making.

2. Card Sorting

I put 10–20 tag options in a simple digital card sort. I ask people to group them, rename the ones that don’t make sense, and tell me where things feel repetitive or vague.

I always throw in some project-based tags to see how people respond to more specific terms.

3. Search Tests

Once the tags are live in Condens, I ask someone to try finding everything we’ve tagged under a certain theme, say, “onboarding friction.” I watch where they click and whether they find what they need. If they don’t, I fix it.

4. Feedback Prompts

Once a tagging system is in use, I add a simple prompt at the top of the board:

“Can’t find what you’re looking for? Something unclear? Let me know.”

That one line gets me more useful feedback than a dozen planning meetings.

Building a Tag Dictionary

Once the system is working, I document it. My tag dictionary lives in Google Docs and includes:

• The tag name

• A short definition

• A quote example

I review it once a quarter. At the end of each project, I check to see:

• Are any of these project-specific tags showing up again and again?

• Do we need to merge or rename anything?

If a tag proves useful in more than one project, I promote it to global. If it never comes up again, it stays where it is. The dictionary is never “done.” It grows over time. But that slow build gives the team a common language to work with.

If you are struggling with where to start on this, here are some examples of what a dictionary might look like:

Pain Point

Used when a user clearly expresses frustration or difficulty with something. This could be verbal (“I hate that I have to…”) or emotional (confusion, hesitation, visible irritation).

Example: “I never know which button to press first. It’s not clear at all.”

Usability Issue

Used when a user struggles with a task due to design or layout problems. Often tied to interface, copy, or interaction flow.

Example: “I thought clicking ‘Save’ would submit it, but nothing happened.”

Need

Used when a user shares something they require or are missing to complete their goal or task. This can be stated directly or implied through behavior.

Example: “I just want a way to filter by date. Right now I have to scroll forever.”

Trust Signal Broken

Used when a user feels uncertain, misled, or suspicious, often triggered by language, design, or unexpected outcomes.

Example: “It said ‘instant payout’ but then it took 24 hours. That felt shady.”

Motivation

Used when a user talks about what’s driving them, why they’re here, what outcome they’re aiming for, or what’s pulling them toward a tool or action.

Example: “I want to get my finances in order before I hit 40. That’s my goal.”

Feature Request

Used when a user asks for functionality that doesn’t exist or isn’t visible. Often phrased as a wish, a comparison, or a direct ask.

Example: “It’d be great if I could just drag and drop these instead of going one by one.”

Step 4: Build an Insight Magazine in Condens

Your goal: Turn tagged highlights from multiple sessions into a curated, browsable hub that answers the question, “What do we already know about [topic]?”

Once the tags are in place, this is where things (finally) start to pay off.

This is the part where you stop being the only person who knows what was learned in a project. Where research stops sitting in your head, or buried in slides, and starts working for the team without you having to explain it again. It’s where your work starts to actually get reused.

When I build an Insight Magazine in Condens, it’s not about creating a final report. I’m not trying to make something polished and pretty. I’m making something that’s fast to skim, easy to bookmark, and built to be used during decisions, not just after them.

I started doing this after a client messaged me, asking if I could “pull together a few quotes about onboarding trust issues.” I’d already tagged and organized all of those quotes, but they were spread across three studies. I realized the real issue was the way the data was presented. So I pulled everything into a quick magazine, grouped by theme, and dropped it into their planning doc. They never asked for another research summary after that. They just bookmarked the link.

This is how I build an Insight Magazine that gets used

What an Insight Magazine Actually Is

In Condens, a magazine is a way to curate research into a scrollable, structured page. It’s more lightweight than a report and more flexible than a slide deck. You can use it to:

• Pull together tagged quotes and themes across multiple projects

• Group insights into sections so they’re easy to scan

• Add commentary or summaries to help others understand what’s going on

• Create something you can link to directly, inside Slack, Notion, strategy docs, etc.

You don’t need to include every single thing you learned. Just the parts that people ask about most, or that affect decisions being made now.

Step-by-Step: How I Build It

1. Open the Magazine Builder in Condens

Once you’ve tagged and highlighted your quotes, head to the “Magazines” tab in your project. Start a new one. Give it a name that someone outside research would understand.

Not “Study Synthesis Q1 2024.” Instead: “Everything We Know About Onboarding Friction.”

That alone makes it more likely to get clicked.

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2. Create Sections Based on Themes

Each section is like a mini-chapter. I usually create 3 to 5 of them per magazine. These can come directly from your tags, or you can group tags together under a broader heading.

Examples:

• Where trust breaks down

• What makes first-time users hesitate

• Things that surprise and delight

• Moments of confusion during sign-up

Use plain language. Think about what someone skimming this in a meeting would be drawn to. It should read like a list of FAQs, not internal taxonomy.

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3. Pull in Highlight Cards

This is where your tagged quotes come in. For each section, I add 2 to 5 highlight cards that show the user’s voice in a way that supports the theme.

Each card should be:

• One clear quote (short and pointed)

• The tags you already applied

• A short annotation underneath, to explain what’s going on

Let’s say you have a section called “Where Trust Breaks Down.” You might include:

Quote: “It said ‘instant’ but it didn’t go through until the next day. That felt sketchy.”

Annotation: This came up in three sessions. Users expect ‘instant’ to mean immediate. When it doesn’t, trust erodes fast.

Keep the annotation brief. This is meant to be just enough context to help someone understand why the quote matters.

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4. Write a Short Summary for Each Section

Above the quotes, I add a short paragraph (2 to 4 sentences) that sums up what the section is about. This is your headline insight, the thing you’d say out loud if someone asked you in a hallway.

It should answer:

• What’s happening?

• Why does it matter?

Example:

In three different studies, users hesitated during onboarding when they didn’t understand why personal information was being requested. The lack of upfront explanation made the flow feel untrustworthy. Friction increased when users couldn’t see how their data would be used.

These summaries are what turn the magazine from a quote board into something people can read and understand. Don’t skip this part.

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5. Add an Intro at the Top

This part gets overlooked, but it makes a big difference. A short intro at the top of the magazine helps your team know:

• What this is

• What projects it’s based on

• Who it’s for

Example:

This insight magazine brings together findings from five recent studies focused on onboarding experiences (2023–2024). It’s designed to support teams working on sign-up, account creation, or early activation. Includes highlights from interviews, usability tests, and diary studies.

How to Keep It Useful Over Time

The best part about Insight Magazines is that they don’t have to be final. I treat them like working documents. Every few months, I:

• Add a few new quotes from recent studies

• Rewrite sections if patterns have changed

• Remove anything that’s no longer relevant

It takes me less than an hour. And it means I don’t have to start over the next time someone asks me for a synthesis.

Step 5: Share + Operationalize Your Insight Magazine

Once your Insight Magazine is live, the next part is getting it into the hands of the people who need it before they forget they even asked for it.

I’ve had projects where the research was solid, the quotes were rich, and the patterns were clear. But no one used it. Not because they didn’t care, but because I didn’t share it in a way that made it feel useful or relevant. It sat in a folder, unclicked.

So I started changing how I share. I focused less on the “ta-da” moment of launching a synthesis and more on building small habits around reuse. I stopped thinking of research as a one-time delivery and started treating it like a shared resource, something people could go back to again and again without needing me to walk them through it.

How to Share Your Insight Magazine

Step 1: Share It With a Clear Intro, Not Just a Link

One of the biggest mistakes I used to make was just dropping a link in Slack and hoping people would click it. They usually didn’t.

Now I treat the first message like a mini pitch. Not in a salesy way, just in a way that answers the questions they didn’t ask out loud:

• What is this?

• Why should I care?

• What can I use it for?

Example message I’ve sent:

Pulled together everything we’ve learned on onboarding friction across five projects, including trust issues, unclear copy, and some standout UX wins that made people feel confident. If you’re working on anything related to sign-up or early activation, this should be useful. Link: [Insert Magazine]

That one message usually does more than any deck I’ve ever made.

Step 2: Embed It in Strategic Places

People won’t go looking for research. It’s just how work happens. So I put the Insight Magazine in places where they’re already working.

Where I embed the link:

• In product briefs, under “Relevant Past Research”

• At the top of Notion pages for upcoming initiatives

• Inside strategy decks or team rituals (like “Week Ahead” or sprint planning)

• In feature specs, often in the background or rationale section

Every time I do this, I add one line of context. Something like:

“Full synthesis on onboarding friction lives here, with tagged quotes and section summaries.”

That line gives permission to explore without making it feel like homework.

Step 3: Reference It in Conversations

This is probably the most important part of the entire step. Because most decisions don’t happen inside documents. They happen during chats, planning calls, and Slack threads.

I make a point to reference the Insight Magazine when:

• Someone asks a question I’ve already answered in past research

• We’re in a meeting discussing a decision that touches on that topic

• A PM or designer is doing early exploration and needs context

It usually sounds like this:

“We actually covered that in our onboarding work. Want me to pull a few quotes?”

Or:

“That’s already in the onboarding magazine, there’s a section on trust signals that breaks it down.”

Once you build the habit of referencing the magazine like it’s part of your toolkit, others do too. And it starts becoming the default place people look before kicking off new work.

Step 4: Make It Easy to Ask for More

I usually add a prompt at the top of the Insight Magazine that says something like:

“Need this expanded or want to add a new section? Just ping me.”

This does two things:

1. It makes people feel like the research isn’t locked or final.

2. It gives me a signal when something’s missing.

I’ve had two clients ask to “add a section” on competitor reactions based on that note. I didn’t plan to do it, but I had the data already, it just hadn’t made it in yet. So I tagged the highlights, dropped them in, and let them know it was updated.

Step 5: Track Whether It’s Working

I don’t use complex analytics here. I keep it simple. I watch for:

• Repeat clicks (does the same person come back to it?)

• Reuse (do quotes from the magazine show up in strategy docs?)

• References (do people start linking to it in other threads or meetings?)

Even if you don’t have built-in analytics, you can spot these signs:

• “I saw that quote in your magazine, can I use it in our deck?”

• “Let’s check the magazine before we rerun another study.”

When I hear that, I know the magazine’s doing its job.

Step 6: Refresh It Every Quarter

I block time on my calendar every three months to check in on the Insight Magazines I’ve created. This doesn’t have to be a full overhaul.

Here’s what I do:

• Scan for any broken links or outdated examples

• Add a few new quotes from recent projects, if they fit

• Update the intro if the audience or focus has shifted

• Archive any sections that are no longer in use

It usually takes me about 45 minutes. And it saves me hours down the line when someone says, “Can we revisit our findings on onboarding trust?”

Step 7: Build Reuse Into Team Norms

Once I’ve shared a few magazines and seen that they’re landing well, I start to introduce the idea of reuse as part of team habits.

I’ll say things like:

• “Before we start this round of interviews, let’s check what we already have on this.”

• “Can we build this planning doc off the onboarding magazine?”

• “The quotes for this section are already tagged. Should we copy from the Insight Magazine?”

Sometimes I even build a short checklist into a kickoff doc that says:

• Have you checked existing Insight Magazines?

• Do we already have past findings tagged on this topic?

Over time, this starts to shift the default from “start new” to “start with what we have.”

Wrapping It All Up

If you’ve made it this far, you already know research isn’t just about what we learn. It’s about what gets remembered, reused, and shared. The goal isn’t to impress people with how much work we did. It’s to make what we learned so accessible and useful that it actually changes what teams do next.

That’s what this workflow is about.

It’s not about building a perfect repository or creating the most beautifully tagged quote board on the planet. It’s about building a system that works for you and the teams you support. One that helps you avoid starting from zero every time someone kicks off a new project.

If you’re tired of repeating the same insights in every meeting, tired of being the only person who remembers that one thing that user said three quarters ago, or tired of scrambling to find “that slide from the other deck,” then this is your out.

Build a tagging system that you can actually stick to. Group themes the way people actually talk about them. Share quotes the way you’d share advice, straightforward, short, and honest. And when it’s time to package it all up? Make it skimmable. Make it something you’d want to find if you were the one building a roadmap or writing a brief.

When I started doing this, I didn’t expect it to stick. But it did. Teams stopped asking me for decks. They started asking me to update the Insight Magazine instead. Stakeholders came to meetings already quoting users. I even had a product lead tell me she now checks past magazines before writing new OKRs. That’s when I knew it was actually working.

You don’t need to overhaul everything to start. You can try it with one project. Tag five great quotes. Write one Insight Magazine. Share it once. See what happens.

That’s how I started. Not with a grand plan, but with a problem I was tired of solving over and over again.

Now I have a growing system that actually makes my work more visible. Not louder—just easier to find, easier to use, and harder to ignore.

So if you’re thinking, “I don’t have time for this,” I hear you. But I’ll say this: the time I’ve saved not re-explaining past research is worth every minute I spent tagging or writing summaries.

The goal isn’t perfection. It’s momentum. One tag. One theme. One quote. One page that makes someone say, “Oh, we already know that.”

That’s the win.

If you’re tired of repeating work, answering the same questions, or being the only person who remembers what happened last quarter, this workflow is worth trying.

You can start a 30-day free trial with Condens here: