- Published on
Sensemaking Sessions: How Digital Marketing Stops Playing Insight Circles
- Authors

- Name
- Mikhail Drozdov
About the Author
Digital philosopher with 10+ years of experience. Connecting SEO, analytics, AI, and iGaming marketing so brands grow through strategy, not hype.
Casinokrisa · Digital Philosopher & Marketing Strategist
- Email: info@casinokrisa.com
- Telegram: @casinokrisa
- LinkedIn: LinkedIn
- Website: casinokrisa.com
Good morning, colleagues. Digital teams learned to collect more signals than they can digest. Every week—new reports, retros, "insights" from Telegram chats, memos from contractors. All this gets dumped into Notion, where it dies. People go in circles, repeating the same hypotheses. To break out of this collage, we run sensemaking sessions. This isn't a chat circle, not "come up with an idea in 15 minutes," but a discipline that connects data, people, and strategy.
What Is Sensemaking in Marketing
If we turn to Karl Weick's definition on Wikipedia, sensemaking is a process where a team makes sense of ambiguous information and turns it into actions. In marketing, this means: take scattered metrics, user feedback, trends, constraints, and assemble a meaning map. No esoterics, just logic. This process is essential for AI orchestration and building effective marketing strategies.
Meme vs. Method
| Format | Insight Circle | Sensemaking Session |
|---|---|---|
| Goal | Listen to opinions, get inspired | Formulate decisions and hypotheses |
| Materials | Slides without structure | Data, interviews, CRM signals, context |
| Result | Protocol that was forgotten | Meaning map, action plan, owners |
| Engagement | Loudest ones speak | Everyone has a role and time |
What a Live Session Looks Like
- Preparation — gather the deck team: marketing, product, analytics, AI, support. Assign a facilitator (usually me or someone from the strategy team).
- Artifact collection — export LTV, CAC, retention metrics, take call recordings, customer support, traffic reports.
- Labels and clusters — on a virtual board (Miro, FigJam), lay out signals: segment behavior, barriers, insights.
- Meaning mapping — connect where causes, consequences, triggers are. Form theses.
- Hypotheses and decisions — for each "problem → trigger → hypothesis" link, assign an owner, deadline, success criteria.
- Documentation — transfer everything to a solution: table, Confluence, Notion. This isn't a pretty protocol, but a project plan.
In the end, a map appears where priorities are visible. For example:
- Segment "new players"—high churn due to complex onboarding.
- Hypothesis: need a simplified product version + onboarding message series.
- Actions: connect AI from AI orchestration for message personalization, redesign UX, set up CRM validation.
Why This Works Better Than an Hour Meeting
Sensemaking is attention management. We're not trying to come up with a "creative idea," we're creating a coordinate system. When the map is ready, decisions are made faster. We save a week of discussions because we already know where the pain is, who feels it, and what to do about it.
In this sense, any "insight circles" are profanation. If you just share opinions, nothing changes. I already showed how in iGaming attention economics, player expectation wins, not a beautiful facade. Sensemaking returns teams to reality: here are real numbers, here's behavior, here's what we'll do. This approach is fundamental to understanding attention economics in iGaming and building effective marketing strategies.
Facilitation Nuances
To prevent the session from turning into a sprint of shouting, there are several rules:
- Clear timing — each section is time-limited. Want to speak—prepare.
- Veto right — if there's no data, say "we don't know" and record an observation, not a conclusion.
- AI as assistant — use models to aggregate feedback, but people make final conclusions. AI is a partner, not a leader.
- Documents at start — participants receive prepared artifacts in advance. The session isn't a place for first encounter with numbers.
How This Connects to AI and Product
Sensemaking is an injector for further processes. After the session, we:
- Pass hypotheses to the AI team so they assemble modules and orchestrate marketing.
- Notify product: what UX changes are needed, where's the bottleneck.
- Set up communications: for example, launch an email series with a new tone to avoid sliding into corporate influencer simulation.
Teams that skip sensemaking usually live in chaos: everyone pulls in their direction, hypotheses aren't synchronized, budgets flow into sand.
Example Artifact: Meaning Map
| Signal | Meaning | Hypothesis | Action |
|---|---|---|---|
| 42% of new users don't reach second session | Onboarding too complex | Need simplification and personalization | AI segmentation + UX simplification |
| LTV of high-rollers only grows on mobile | Desktop version outdated | Interface adaptation required | Desktop redesign + content audit |
| Partners complain about long approve | No transparent SLA | Need request tracking | Create API and transparent dashboard |
Such tables aren't decoration. Tasks, budgets, deadlines emerge from them. This is how authoritative brands stop playing "we're doing a redesign because it's scary to stand still" and start changing product.
FAQ
How Is Sensemaking Different from Brainstorming?
Brainstorming is about ideas, sensemaking is about meaning. We're not trying to "come up with something new," we're structuring what's already happening to make a decision. The tool is like strategic reconnaissance. Brainstorming often turns into an ego competition.
How Long Does a Session Take?
2 to 4 hours. Preparation—a day or two. After the session, another day goes to documentation and task launch. But the savings of subsequent weeks are huge: the team understands what to do, where boundaries are, where to look to avoid drowning in gossip and "insights from chat."
What Materials Are Needed?
Metrics (LTV, CAC, churn), qualitative data (interviews, customer support), content (what we're publishing now), product plans, partner feedback. The more reality, the better. Connect AI assistants to tag data, but final analysis—manual. Otherwise, you get a machine redesign without strategy.
Most Common Mistakes
- Too many people — 20 people in Zoom turn the session into a meeting. Need 6-8 key figures.
- No facilitator — when there's no leader, meaning scatters. Need someone who holds focus and summarizes.
- No follow-up — if after the session you don't record decisions and assign owners, everything will be forgotten.
- Ignoring external context — market intelligence, regulatory news, even gossip. We consider them, but don't build strategy on rumors.
Why This Is Useful for SEO and Content
Sensemaking helps make content "to the point." When you have a meaning map, you know what to write about, which cases to reveal, which keywords to lean on. For us, it works like this:
- Hypothesis → article topic → keyword list → cross-links within blog → FAQ based on client questions.
- Using this text as an example, we've already connected AI, digital influencers, attention economics, and redesign topics. Search engines see structure, and readers get real value.
To further strengthen E-E-A-T, add external links to authoritative sources. Besides Wikipedia, you can reference McKinsey or Accenture research on marketing transformation. Sharing links shows you're not stewing in your own juice.
Glossary Terms
This article references several key concepts from the Casinokrisa glossary:
- Sensemaking — A process where a team makes sense of ambiguous information and turns it into actions
- Meaning Map — A visual or structured representation that connects data, insights, problems, and solutions
- LTV — Lifetime Value. The total revenue a customer generates over their entire relationship with a business
- CAC — Customer Acquisition Cost. The total cost of acquiring a new customer
- ROMI — Return on Marketing Investment. A metric that measures the revenue generated from marketing activities relative to the cost
Related Processes
- Sensemaking Process — Process for making sense of ambiguous information: gather data, create meaning map, identify patterns, generate actions
- AI Orchestration Process — Step-by-step process for integrating AI into marketing workflows: data collection, solution generation, execution, retrospectives
Related Topics
- Marketing Strategy — Digital marketing, performance marketing, strategic approaches to growth
- Analytics & Data — Data analysis, metrics, measurement, and data-driven decision making
- AI & Automation — Artificial intelligence, machine learning, automation in marketing and business
Related Terms
- Data Pipeline — The infrastructure for collecting, processing, and analyzing data
- AI Orchestration — A managed set of processes where AI models are embedded in daily work
- Media Buying — The process of purchasing advertising space across digital channels
Related Media
- Denis Denzil, Head of Affiliate: From Sports to Leadership in Financial Marketing — A conversation about how a sports background shapes the approach to managing affiliate programs and financial marketing
- Rafael Gabitov — 17 Years in Arbitrage: Diasp, Indigo, FBTool and Other Success Stories — A long-term perspective on traffic arbitrage: how tools and strategies have evolved over nearly two decades
In Conclusion
Sensemaking isn't a trendy term, but a vitally necessary tool for teams tired of a series of useless meetings. It's an opportunity to stop, look at reality, and say: "Here are our pains, here are solutions, here's who's responsible." Without this, you'll endlessly postpone deadlines, invent "new" ideas, and burn out trying to catch up with competition. With sensemaking, we return the right to conscious marketing. We still have time for sarcasm and philosophy. We're people, not corporate avatars.
Related Processes
- AI Orchestration Process
Step-by-step process for integrating AI into marketing workflows: data collection, solution generation, execution, retrospectives.
- Sensemaking Process
Process for making sense of ambiguous information: gather data, create meaning map, identify patterns, generate actions.
- SEO for AI Overviews
How to optimize content for AI consumption: structure for citation, add FAQ schema, build E-E-A-T signals, create quotable content.
Related Topics
- Marketing Strategy
Digital marketing, performance marketing, strategic approaches to growth. Building systems that connect analytics, strategy, and execution.
Related Terms
- AI Orchestration
A managed set of processes where AI models are embedded in daily work: data collection, solution generation, execution control, and retrospectives. Not separate initiatives, but a unified system connecting people and machines.
- Sensemaking
A process where a team makes sense of ambiguous information and turns it into actions. In marketing, this means taking scattered metrics, user feedback, trends, and constraints, and assembling a meaning map that connects data, people, and strategy.
- E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness. Google's framework for evaluating content quality. Content should demonstrate real experience, show expertise, establish authority, and be trustworthy.
- Attention Economics
The economic model where attention is the scarce resource. In iGaming and digital marketing, understanding how to earn and retain attention through quality experience, not just acquisition, determines long-term success.
- Media Buying
The process of purchasing advertising space across digital channels. In performance marketing, media buying involves traffic arbitrage, creative optimization, and systematic approach to ensure profitability over the long term.
- Traffic Arbitrage
Buying traffic from one source and monetizing it through another at a higher rate. Requires systematic processes, data analysis, and understanding of conversion funnels to remain profitable.
- LTV
Lifetime Value. The total revenue a customer generates over their entire relationship with a business. In iGaming and subscription models, LTV is a key metric for understanding player economics and marketing ROI.
- ROMI
Return on Marketing Investment. A metric that measures the revenue generated from marketing activities relative to the cost. Essential for evaluating marketing effectiveness and budget allocation.
Related Media
- Denis Denzil, Head of Affiliate: From Sports to Leadership in Financial Marketing
A conversation about how a sports background shapes the approach to managing affiliate programs and financial marketing.
- Seva Baller: Stream Summit, B2B Influence, and Marketing Strategies
On how streaming and B2B influence become part of the marketing infrastructure and how this changes communication in the industry.