Not “outdated” gone. More like, you keep flipping back to it because it used to work, and it still has a few good pages, but the world it was written for doesn’t exist anymore.
That’s post normal business.
It’s not just that markets move faster. It’s that they move weird. Customers change behavior mid quarter. Competitors appear from nowhere. A platform tweak nukes your acquisition channel. A supply issue turns into a pricing issue turns into a churn issue. And the whole time you’re expected to “have a strategy”.
So this is that. Strategy tips, yes. But built for a high speed digital world where certainty is expensive and attention is rented.
What “post normal” actually means (in real business terms)
Post normal is basically this.
You are operating in:
- High volatility (things swing hard)
- High uncertainty (the next quarter is fuzzy)
- High complexity (everything is connected)
- High ambiguity (even the data argues with itself)
Which means the job of strategy changes.
Before, strategy was often about picking the right direction and committing. Now it’s more like picking a direction, moving, sensing, adjusting, and not crashing into the wall you didn’t know was there.
And that’s not pessimistic, it’s just accurate.
1. Stop writing strategies that assume stability
A lot of strategies are secretly “steady state” documents.
They assume:
- customer needs stay mostly the same
- channels behave consistently
- competitors play by the same rules
- execution happens as planned
That’s cute. It’s also why so many plans look smart in a board deck and then melt in real life.
What to do instead.
Write strategy like you expect disruption. Put the instability into the plan, not into the emergency meetings.
A simple way to do it is to include three versions of your plan:
- Base case: what you think is most likely
- Downside case: what breaks if growth slows, CAC rises, or a partner changes terms
- Upside case: what you do if a channel opens up and you can scale fast
Then attach clear triggers.
“If X happens, we do Y.” Not “we will monitor.” Actual decisions.
It’s boring, but boring is good when everything else is chaotic.
2. Shorten the distance between decision and reality
In high speed digital environments, long feedback loops are deadly.
If you only learn what worked after the quarter ends, you’re basically steering by looking at the wake.
So the strategy move is not “make better decisions”. It’s “build faster learning”.
Some practical ways.
- Weekly metrics that actually change behavior. Not vanity dashboards. Pick a handful of numbers that drive action.
- Ship small, measure, iterate. Even for non product teams. Sales scripts, onboarding emails, pricing pages, partner offers. Everything can be tested.
- Decision logs. Write down the call you made and why. In 60 days, review. You’ll get better faster, and you’ll catch your own patterns.
A lot of companies say they’re data driven but they are really data decorated. The difference is whether the data changes decisions in time to matter.
3. Build an “edge” that isn’t a feature
Feature based advantage is fragile now.
Someone copies it. Or an AI tool makes it cheap. Or a platform releases it natively. Or customers stop caring because the baseline rose.
So if your strategy is “we have better features”, you’re playing defense even when you think you’re attacking.
Look for advantage in places that compound:
- Distribution: audience, community, partnerships, SEO footprint, creator ecosystem, integrations
- Speed: faster shipping, faster support, faster iteration, faster experimentation
- Trust: brand credibility, compliance, security, reliability, proof
- Data and workflow lock in: not “we store your data”, but “your whole workflow lives here”
- Switching costs that are honest: training, templates, history, team habits, embedded processes
The goal is an edge that gets stronger the more you use it.
A quick gut check. If a competitor copied your product in 90 days, what would they still not have?
That answer is usually your real moat.
4. Treat attention like a supply chain
In a digital world, attention is not marketing. It’s infrastructure.
If your attention supply breaks, everything downstream breaks too. Pipeline, trials, conversions, hiring, partnerships. The business starts to feel “mysteriously harder”.
So you want redundancy.
Not in a paranoid way. Just… you don’t want a single point of failure.
A simple approach is to build a portfolio:
- One rented channel (ads, sponsored, affiliates, marketplaces)
- One earned channel (SEO, PR, virality, partnerships)
- One owned channel (email list, community, product notifications, SMS if relevant)
And then, actually invest in the owned one. Most people say they will, but they keep feeding the rented one because it’s measurable and immediate. Until it isn’t.
Also. Don’t just create content. Create assets.
A good asset is something that keeps working without constant posting. Tools, templates, calculators, playbooks, comparison pages, interactive demos, onboarding sequences, mini courses. Stuff people return to.
5. Make “optionality” a strategy, not a buzzword
In post normal business, optionality is survival. It’s the ability to pivot without panic.
But optionality doesn’t come from vague openness. It comes from deliberate choices that keep doors unlocked.
Examples of how to build it:
- Avoid channel dependence. If 80 percent of growth comes from one source, you’re exposed.
- Avoid one customer concentration. If one client can ruin the quarter, you’re exposed.
- Avoid one person dependence. If one engineer or one salesperson holds the whole system in their head, you’re exposed.
- Keep experiments running. Always. Even when things are going well. Especially then.
Optionality is not indecision. It’s controlled exploration.
I like the idea of keeping 70 percent of effort on the core, 20 percent on adjacent plays, 10 percent on weird bets. The numbers can change, but the concept works.
6. Stop confusing activity with throughput
High speed environments create a trap.
Everyone is busy. Slack is on fire. Meetings stack. Work expands.
But throughput stays the same, or worse, because coordination costs eat everything.
So strategy has to include operating design. How work moves.
Some rules that tend to help:
- Fewer priorities, aggressively fewer. If you have 12 priorities, you have none.
- Clear owners. One name. Not a committee.
- Smaller teams with real autonomy. If every decision requires alignment, speed dies.
- Ruthless meeting hygiene. Most recurring meetings should not exist. Sorry.
Also, start measuring cycle time for important work. How long it takes to go from idea to shipped, from lead to close, from ticket to resolution. Those times tell you more about competitiveness than your mission statement does.
7. Design for resilience, not perfection
Perfection is slow. And brittle.
Resilience is different. It’s the ability to take hits and keep moving.
In practice, resilience shows up as:
- cash runway and sane burn
- margins that can absorb shocks
- systems that don’t collapse when someone leaves
- suppliers or partners that aren’t single points of failure
- product reliability and customer support that doesn’t crater during spikes
A lot of this is unsexy. Which is why it gets ignored. Until it becomes the only thing that matters.
If you’re a founder, one of the most strategic things you can do is set a “resilience floor”. Minimum cash buffer. Minimum reliability standard. Maximum acceptable churn. Maximum refund rate. And you don’t negotiate with it every month.
8. Move from annual planning to continuous planning
Annual planning is fine for budgeting. It’s bad for reality.
In a high speed world, planning needs a cadence more like software releases than like fiscal calendars.
Try this:
- Annual direction: the big bets, the positioning, the narrative
- Quarterly priorities: what you will actually do
- Monthly reviews: what changed, what you learned, what you’re stopping
- Weekly execution: who is doing what, and what is blocked
This is not about being “agile” as a personality trait. It’s about keeping strategy connected to the world as it shifts.
One more thing. Make stopping a formal process.
If you don’t explicitly stop things, your organization becomes an attic. Old projects, half owned initiatives, zombie campaigns. And then you wonder why capacity vanished.
9. Compete on clarity, especially when the market is confused
When everything moves fast, people crave clarity.
Customers. Employees. Partners. Even investors.
So your strategy needs a simple, repeatable point of view:
- who you are for
- what problem you solve
- what you will not do
- why you are different
- what outcomes people get
If your team can’t say that in one breath, you have a positioning problem. And positioning problems turn into execution problems. Because people pull in different directions.
A practical tool here is a “no list”.
Write down what you are not building. Which customer segment you are not targeting. Which channel you are not prioritizing. Which deals you will not take.
It feels restrictive, but it’s freeing. Clarity creates speed.
10. Price like you mean it
Pricing is strategy, not a spreadsheet.
In post normal business, costs change fast. Competitors discount. Customers scrutinize spend. Procurement gets tighter. And AI pushes expectations upward, meaning users want more value for the same price.
So pricing needs active management.
A few principles that help:
- Tie price to value metrics. Seats, usage, outcomes, volume. Whatever maps to value for the customer.
- Stop undercharging out of fear. If you’re scared to raise prices, you’ll compensate by bloating features and burning out the team.
- Offer clear packaging. People should understand what they get, quickly.
- Review pricing at least twice a year. Not every week. But not never.
Also, keep an eye on discount discipline. If every deal needs a discount to close, something is off. Either your price, your positioning, or your sales process.
11. Treat AI as a workflow layer, not a magic wand
You can’t ignore AI now, obviously. But the mistake is treating it like a bolt on.
The real leverage is when AI becomes part of the workflow.
Customer support, sales outreach, onboarding, internal ops, QA, content production, forecasting, research. The point is not “we use AI”. The point is “we reduced cycle time and improved quality without scaling headcount linearly.”
Some practical moves:
- Document your core workflows before you automate them. Otherwise you automate chaos.
- Pick 1 or 2 areas where speed matters most, and start there.
- Create guardrails. What cannot be automated. What must be reviewed by a human.
- Invest in enablement. People need prompts, templates, examples. Not vague encouragement.
The companies that win with AI won’t be the ones that talk about it the loudest. They’ll be the ones that quietly ship faster and serve customers better.
12. Build strategy around customer behavior, not your org chart
Internal structure is not a strategy.
But it often becomes one, accidentally.
Marketing owns awareness. Sales owns conversion. Product owns retention. Support owns problems. Everyone does their part. And the customer experiences… a relay race with dropped batons.
In a high speed digital world, customers don’t care how you’re organized. They care about time to value.
So map the customer journey like a system:
- How do people discover you?
- What convinces them?
- What blocks them?
- What gets them to the first win?
- What makes them stay?
- What makes them recommend?
Then align work around those moments.
A surprisingly powerful habit is to run “time to first value” reviews. Watch recordings. Read transcripts. Look at where people stall. Fix that first. It’s not glamorous, but it compounds.
13. Make your company legible to itself
This sounds abstract, but it’s a real issue.
In fast moving businesses, knowledge fragments. Decisions happen in private threads. Context gets lost. New hires feel like they joined mid season on episode 6.
Legibility is strategic because it reduces drag.
Some ways to increase it:
- Write down decisions and make them searchable.
- Keep a simple operating cadence that everyone understands.
- Maintain a single source of truth for goals and priorities.
- Use fewer tools, but use them consistently.
You’re basically trying to reduce the “WTF tax”. The constant cost of people asking what’s going on, why it’s happening, and who owns it.
14. Your culture is your response time
Culture gets framed as values on a wall. In post normal business, culture is closer to reflexes.
How fast do you respond to change? How honest are you about bad news? Do people hide problems or surface them early? Do you punish mistakes or punish silence?
Those answers determine your speed more than your tech stack does.
A couple of cultural moves that help in high velocity environments:
- Reward early problem spotting. Make it safe to say “this isn’t working”.
- Normalize small experiments, and normalize killing them.
- Protect focus. Constant urgency is not speed, it’s burnout.
The goal is not to be calm all the time. The goal is to be coherent under pressure.
A simple way to put this into action (without rewriting your whole company)
If you want something you can do in the next two weeks, here’s a clean sequence.
- Audit your dependencies. Biggest channel dependency, customer dependency, vendor dependency, key person dependency.
- Pick one cycle time to cut. Shipping, onboarding, closing, support resolution. Choose one.
- Define three triggers. What events cause you to change plan. CAC spikes, churn rises, pipeline drops, a platform changes.
- Start one new experiment stream. A small pipeline of tests that runs every week.
- Write a no list. Five things you are not doing this quarter.
That’s it. Not sexy, but you’ll feel the difference fast.
Let’s wrap this up
Post normal business is not about predicting the future better. It’s about building an organization that can move through the future without needing perfect information.
The companies that win in a high speed digital world tend to do a few things really well.
They shorten feedback loops. They build distribution that compounds. They keep optionality. They design for resilience. They plan continuously. They price with intention. They use AI to remove friction. They stay clear about who they are for, and who they are not.
And they don’t confuse motion with progress.
If you’re reading this while juggling a dozen priorities, here’s the most useful question I can leave you with.
What would you do differently if you accepted, fully, that stability is not coming back?
FAQs (Frequently Asked Questions)
What does ‘post normal’ business mean in practical terms?
Post normal business refers to operating in conditions characterized by high volatility, uncertainty, complexity, and ambiguity. This means markets move unpredictably, customer behaviors shift rapidly, competitors emerge unexpectedly, and data can be conflicting. Strategy in this context requires agility—picking a direction, moving quickly, sensing changes, adjusting as needed, and avoiding unforeseen obstacles.
Why should I stop writing strategies that assume market stability?
Traditional strategies often assume steady-state conditions where customer needs, channels, competitors, and execution remain consistent. However, in today’s post normal environment, this leads to plans that look good on paper but fail in reality due to unexpected disruptions. Instead, strategies should anticipate instability by including multiple scenarios (base case, downside case, upside case) with clear triggers for action to manage disruption proactively rather than reactively.
How can I shorten the distance between decision-making and real-world results?
In fast-moving digital environments, long feedback loops are detrimental. To shorten the gap between decisions and outcomes: track weekly metrics that drive actionable change rather than vanity stats; adopt a test-and-learn approach by shipping small experiments across all teams; maintain decision logs documenting choices and rationale to enable rapid learning and pattern recognition. This approach ensures data informs timely decisions that matter.
What kind of competitive edge should businesses focus on now?
Feature-based advantages are fragile since competitors can copy features quickly or AI tools can commoditize them. Instead, businesses should build compound edges such as strong distribution networks (audience communities, partnerships), speed in shipping and iteration, trust through brand credibility and reliability, workflow lock-in that embeds customers deeply into your ecosystem, and honest switching costs like training and embedded processes. These create durable moats that strengthen over time.
How should businesses treat customer attention in a digital world?
Attention should be treated like a supply chain infrastructure essential for downstream success (pipeline growth, conversions, hiring). To avoid single points of failure, build a diversified portfolio of attention channels: one rented (ads or affiliates), one earned (SEO or PR), and one owned (email lists or community). Prioritize investing in owned channels by creating lasting assets like tools or templates that continue delivering value without constant content production.
What does making ‘optionality’ a strategy involve?
‘Optionality’ means having the ability to pivot smoothly without panic amid uncertainty. It requires deliberate choices that keep strategic doors open rather than vague openness. For example, avoiding overdependence on any single growth channel ensures you can shift focus if conditions change. Building optionality is about designing flexibility into your business model so you can adapt quickly to evolving market dynamics.
