Vision, strategy and why now
A strategy is a choice about where to put your limited people and time, based on an honest diagnosis of what is in your way. This lesson gives you a method to write one on a single page, test it, and use it to say no to good ideas that don't fit.
By the end you can
- Tell a vision, a strategy, goals and a roadmap apart, and say what each one is for
- Write a strategy kernel: a diagnosis, a guiding policy and coherent actions
- Spot the four signs of bad strategy in a real draft and rewrite it
- Map the competition for a job, including spreadsheets, phone calls and doing nothing, and state your right to win
- Answer "why now?" with changes you can point to
The everyday picture
Ravi runs a corner shop. A large supermarket opens 300 metres away. He could write "be the best shop in the area" on the wall, but that tells him nothing about what to do on Monday morning.
So he looks hard at what is happening. The supermarket beats him on price and range, and it always will. It does not beat him on distance, opening hours, or knowing his customers by name. Most of his sales are small top-ups bought on the way home: bread, milk, eggs, phone credit. That is his diagnosis.
From it comes one rule: be the fastest top-up stop for the 400 households within five minutes' walk. That rule rules things out. No price war. No wider range. Then come the actions, and each one helps the others: open from 6 am to midnight, stock the 300 items people top up on and drop the slow ones, take phone orders and deliver within 20 minutes, and give regulars a monthly tab. Longer hours make delivery more useful, the narrow range keeps stock fresh, and the tab brings people back. That is a strategy: a diagnosis, a guiding rule and actions that fit together.
Four documents, four different jobs
People use "vision", "strategy", "goals" and "roadmap" as if they meant the same thing. They answer different questions, on different time scales, and you need all four.
- Vision: where we are going, in three to five years. It should be easy to picture. "Every Mangrove store is also a reliable 30-minute fulfilment point for its neighbourhood." It rarely changes.
- Strategy: how we will get there, given what is in the way. It covers one or two years and names the obstacle and the approach. It changes when the diagnosis changes.
- Goals, usually written as OKRs: how we will know the strategy is working, this quarter. You will write these in the next lesson.
- Roadmap: which problems we will work on, in what order. You will build one in Outcome roadmaps.
Each layer narrows the one below it. The strategy decides which goals matter, the goals decide which roadmap items earn a place, and the roadmap decides what engineers build this sprint. Learning flows back up: if a quarter of results shows the diagnosis was wrong, you change the strategy, not only the roadmap.
The most common failure is skipping the strategy layer. A team goes straight from a vision ("be the best grocery app") to a list of features. With no stated obstacle and no rule for choosing, every request looks equally good, and the loudest department wins. That is the problem the rest of this lesson solves.
Quick check
Which of these is a strategy, as this lesson defines it?
Option 3 names an obstacle and an approach that rules other work out. Option 1 is a vision, option 2 is a goal (it says what to reach, not how), and option 4 is a roadmap. The goal is the tempting one: a number feels concrete, but it gives a team no rule for choosing between requests.
The kernel: diagnosis, guiding policy, coherent actions
Richard Rumelt's book Good Strategy/Bad Strategy (2011) describes the core of any good strategy as a kernel with three parts. It is the most useful single tool a PM can learn for strategy, because each part has a test you can apply.
1. Diagnosis: what is really going on? Start with symptoms you can measure, then ask why until they share a cause. You are looking for the crux: the one or two obstacles that, once handled, unlock most of the rest. A diagnosis has numbers and evidence in it. It also leaves things out. If your diagnosis lists eight problems, you have not diagnosed yet. The five whys from Problems before solutions work here too, applied to a business problem instead of a single feature request.
2. Guiding policy: our overall approach. A guiding policy is a rule for choosing. Rumelt compares it to the guardrails on a road: it does not say where to put each wheel, but it keeps you from driving off the edge. The test is simple to state. A real guiding policy tells a team what not to do. If you cannot name three requests it rules out, it is too vague.
3. Coherent actions: what we will actually do. A small set of actions, with people and money committed, that support each other. Coherence is the important word. Draw arrows between the actions. If offline receiving makes the cycle counts more accurate, and accurate counts make the store manager's dashboard worth opening, the actions reinforce each other. An action with no arrows to any other is probably someone's pet project riding along.
Quick check
How can you tell a guiding policy is doing its job?
A guiding policy is a rule for choosing, so it must exclude something. If everyone agrees at once, it probably excludes nothing. A number belongs in the goals (pm-11); a policy that is only a number gives no rule for which work comes first.
Four signs of bad strategy
Rumelt names four hallmarks of bad strategy. You will see all four in planning decks, so learn to spot them fast.
- Fluff. Big words that hide the lack of a choice. "Leverage omnichannel synergies to deliver a world-class store experience."
- Failure to face the challenge. The document never says what the problem is, so nobody can judge whether the plan addresses it.
- Mistaking goals for strategy. "Grow partner orders 30%" is a wish with a number. It says nothing about what is stopping growth or how you will get past it.
- Bad strategic objectives. A long list of objectives that don't connect, or objectives as hard as the original problem. "Fix stock accuracy" restates the challenge. "Every delivery received in the app at the dock, even when Wi-Fi is down" is a step a team can actually take.
Two quick tests catch most bad drafts. The opposite test: write the opposite of each sentence. If the opposite is absurd ("we will annoy our users"), your sentence is not a choice. The request test: take five real requests from your backlog and ask whether the strategy decides each one. If it decides none, it is fluff.
Quick check
A draft says "We will empower stores with best-in-class digital tools." Which test exposes it fastest?
The opposite, "we will give stores poor tools", is absurd, so the sentence makes no choice. A time horizon or an estimate doesn't help, because there is no decision in the sentence to time or estimate.
Who else does the job, and your right to win
A competitive landscape starts from the job the user is trying to get done (the jobs-to-be-done idea from Problems before solutions), not from a list of companies in your industry. For the job "get tonight's groceries without going out", Mangrove's app competes with:
- Direct rivals: quick-commerce apps that run their own small warehouses and promise delivery in 10 to 15 minutes.
- Indirect rivals: food-delivery apps that added groceries, and ride-hailing apps such as Grab or Pathao that deliver parcels.
- Substitutes: the corner shop down the road (often one of Mangrove's own partner shops), or the weekly supermarket trip.
- Doing nothing: cooking what is already in the fridge.
For internal tools the list looks different, and PMs forget it more often. The Store app's real competitors are the paper receiving sheet, the shared spreadsheet a store manager keeps for expiry dates, the phone call to the DC, the chat group where staff post photos of damaged stock, and the off-the-shelf tool a department head could buy with a company card. Staff cannot leave an internal tool, but they can ignore it and keep using the spreadsheet. If the spreadsheet does the job well enough, it wins.
Your right to win is what you have that rivals cannot easily copy. Hamilton Helmer's 7 Powers (2016) lists seven lasting sources of advantage: scale economies, network economies, counter-positioning, switching costs, branding, a cornered resource, and process power. Each needs two things: a benefit (it lowers your costs or raises what people will pay) and a barrier (rivals can't easily get the same benefit). You don't need the whole framework to use the question. Write down what you have, then ask "could a well-funded rival get this within two years?"
For Mangrove, the honest answer is mixed. It has 320 stores already near its customers, 4 DCs and 1,800 partner shops that order from it every week. A quick-commerce rival would need years and a lot of money to build that footprint. But the footprint only wins if each store's stock record is right. A rival's warehouse is built for picking, so its records are accurate from day one. Mangrove's advantage exists on paper and leaks away at the shelf. That gap is the diagnosis.
Why now?
Every strategy and every big bet should answer "why now?". A good answer points to something that changed and that you can show someone. The usual kinds of change are:
- Technology or cost: something became cheap enough or possible, such as a phone camera that reads barcodes well, or a cloud service you rent by the month instead of a server you buy.
- Behaviour: customers now expect delivery within the hour, because other apps trained them to.
- Competition: a rival entered your city, or a partner started competing with you.
- Rules: a new tax, food-safety or data-protection rule makes the old way illegal or expensive.
- Inside the company: a vendor contract ends, a legacy system is being replaced, or every store finished getting scanners last quarter.
Then ask the reverse question: what happens if we wait a year? If the honest answer is "nothing much", the idea may be good but it is not urgent, and a strategy is about what comes first.
Do it
Write a one-page strategy for your product, using the kernel, in about half a day.
Collect symptoms with numbers
Spend an hour in the data and, if you can, two hours on site. Write each symptom as a measured fact: "9% of app orders have a cut item", not "stock is bad". Aim for five to eight symptoms.
Find the crux
Ask why for each symptom until several share a cause. Circle the one cause that, if fixed, would move most of the symptoms. Write it in two sentences with the evidence.
Map the landscape for the job
Name the job, then list direct rivals, indirect rivals, substitutes and doing nothing. For an internal tool, include the spreadsheet, the phone call, the chat group and anything a department could buy itself.
State your right to win and what it depends on
List what you have that a rival can't get within two years. Then write the condition that must hold for it to count. Mangrove's store network counts only if stock is accurate.
Write the guiding policy and what it rules out
One or two sentences that work as a rule for choosing. Under it, list at least three real requests it sets aside, with the reason. If you can't find three, sharpen the policy.
Choose three to five coherent actions
Draw arrows between them. Drop or park any action with no arrows. Each action should be a step a team can take this year, not a restatement of the challenge.
Answer why now, and test the draft
Name the changes that make this the moment and what waiting a year would cost. Then run the four hallmarks, the opposite test and the request test. Share it with one engineer, one designer and one sceptical stakeholder before the planning meeting.
Markdown# Store app strategy, next 12 months (one page) Owner: Imran (PM) · Reviewed with: Ken (eng), Leila (design), head of store ops ## Diagnosis - 9% of app orders have at least one item cut at picking (last 8 weeks). - Cycle-count sample, 2,000 lines: about 82% match the system. - Cause: when dock Wi-Fi drops, GRNs are done on paper and keyed in late or never; damaged stock goes unrecorded; counts are typed from paper sheets. - So our main advantage (320 stores close to customers) leaks at the shelf. ## Landscape for the job "pick a 'Now' order from the right shelf" - Rivals: quick-commerce dark stores (accurate stock by design, opening in 3 of our 6 cities) - Substitutes inside our stores: paper GRN sheets, the expiry spreadsheet, the damage chat group - Right to win: store footprint + 4 DCs + 1,800 partner shops. Holds only if stock is accurate. ## Guiding policy Make every store's stock record trustworthy before anything else. Until stock accuracy passes 95%, we take on no new store feature that does not improve it. Sets aside (with reason, told to requesters this week): - Staff scheduling: no effect on stock; look at buying a tool (see build/buy review) - Planogram photo checks: revisit when accuracy passes 95% - Dark mode: no effect on stock or speed ## Coherent actions 1. Offline receiving on the scanners, synced when Wi-Fi returns -> accurate stock in 2. Damage and expiry capture at the moment it happens -> accurate stock out 3. Cycle counts in the app, replacing paper -> drift caught weekly (1 and 2 make 3 cheaper: fewer mismatches to investigate) ## Why now - All stores finished getting scanners last quarter: no hardware to buy - Rivals open in 3 cities this year; festival weeks bring about 4x normal orders - Waiting a year: roughly 9% of orders keep losing items, during the rivals' launch year ## How we will know (detail in the OKRs) Stock accuracy, share of deliveries received in the app at the dock, cut-order rate.
Bring it to your team
Ask these in the strategy review, before anyone discusses features.
- What is the one obstacle this strategy is built around, and what evidence tells us it is the real one?
- Which three requests on our list does this strategy tell us to turn down?
- Who else does this job for our users today, including the spreadsheet and the phone call?
- If a rival copied our actions tomorrow, what would still be hard for them to copy?
- What changed in the last year that makes this the right time, and what does waiting a year cost?
- What would we see within one quarter if the diagnosis were wrong?
Red flags
- The strategy is every team's project list under a new title.
- Nobody can name a request the strategy rules out.
- The diagnosis has no numbers in it.
- "World-class", "best-in-class" or "delight" doing the work of a plan.
- The competitor list leaves out substitutes, workarounds and doing nothing.
Practice
Fix a bad Partner app strategy
Here is a draft from a planning deck: "Partner app strategy: become the number one B2B ordering platform for corner shops. We will leverage AI and best-in-class UX to delight partners, grow app orders 30%, launch a loyalty programme, add a chat feature, and expand to two new cities."
Facts you have: Mangrove has 1,800 partner shops. About a third still order by phoning a sales rep, which takes about 40 minutes of rep time per order. Phone orders have about 8% wrong items; app orders about 3%. Shop owners in interviews say the app shows items the DC then can't ship: about 12% of app order lines are short-shipped. Write (a) which of the four hallmarks appear and where, and (b) a new diagnosis and guiding policy in four sentences or fewer, with three requests it rules out.
- You find at least three of the four hallmarks and quote the words that show each
- Your diagnosis uses at least two of the numbers given and names one main cause
- Your guiding policy is a rule for choosing, and it fails the opposite test (its opposite is a real option)
- You name three items from the draft or the backlog that the policy sets aside, with a reason
Show a model answer
(a) Fluff: "leverage AI and best-in-class UX to delight partners". Mistaking goals for strategy: "grow app orders 30%" and "number one platform" are targets with no obstacle named. Failure to face the challenge: the draft never says why a third of shops still phone. Bad strategic objectives: loyalty, chat and two new cities don't connect to each other or to a stated problem.
(b) Diagnosis: shops that phone their orders stay on the phone because the app breaks their trust; about 12% of app order lines are short-shipped, so a shop owner who needs stock for the weekend calls a rep who can check the DC. Guiding policy: make what the Partner app shows match what the DC can ship, and win phone-ordering shops back on reliability before adding features. Sets aside: the loyalty programme (rewards don't fix trust), chat (it adds another channel for the same problem), and new cities (expansion would multiply the short-shipping problem).
Why now and right to win for shop credit
An idea from the sales team: offer partner shops 14-day credit on wholesale orders, with the limit scored from each shop's order and payment history. Write a short "why now" (two or three changes you could show someone), a right to win (what Mangrove has that a bank or a lending app doesn't), and the one condition that must hold for that right to win to count.
- Each "why now" point is a specific change, not a general trend everyone has known for years
- Your right to win names an asset rivals would struggle to get within two years
- You state a condition that could be false, so the claim can be tested
- You say what waiting a year would cost, or admit it would cost little
Show a model answer
Why now: the Partner app now carries most partner orders, so Mangrove has a year or more of order and payment history per shop for the first time; more shops pay invoices by mobile wallet (M-Pesa, UPI or GCash style), which makes repayment cheap to collect and easy to track; a rival wholesaler started offering credit in one city last quarter. Right to win: Mangrove sees every shop's order frequency, basket size and payment timing, and it controls the next delivery, which a bank or lending app can't see or control. Condition: payment history must actually predict repayment; test it on last year's data before lending a single dollar. Waiting a year: shops that are offered credit by the rival may move their whole order there.
Check yourself
You launch an expiry-tracking feature in the Store app. Eight weeks later, most store managers still use their own shared spreadsheet. What did the competitive landscape most likely miss?
For internal tools, the main competitor is often the workaround. Staff can't leave the Store app, but they can ignore it. The landscape should have asked what the spreadsheet does well (it is flexible and already full of data) and what would make the app clearly better. A rival chain's feature does not compete for your store managers' time.
A strategy's actions are: offline receiving, a loyalty badge for top stores, and in-app cycle counts. Which change makes the actions most coherent with the policy "trustworthy stock first"?
Damage and expiry capture closes another leak in the stock record, and it makes counts cheaper because there are fewer mismatches to investigate. The badge has no arrow to the other actions. Renaming it changes nothing real, and adding scheduling makes the set less coherent.
Which is the strongest "why now" for moving store receiving onto the scanners this year?
Option 4 names specific, recent changes you can show someone: the hardware is in place and the competitive pressure has a date. Options 1 and 2 have been true for years, so they don't explain why this year. Option 3 is a request, not a change in the world.
Flashcards
Key takeaways
- Vision says where, strategy says how given the obstacle, OKRs say how we'll know, and the roadmap says in what order.
- A strategy is a diagnosis, a guiding policy and coherent actions. The policy must rule things out.
- Fluff, ignoring the challenge, goals dressed as strategy, and disconnected objectives are the signs of a bad one.
- Map competition by the job, including workarounds and doing nothing; for internal tools, the spreadsheet is often the real rival.
- "Why now" needs a specific change you can point to and an honest answer to "what if we wait a year?".
Sources and further reading
- Richard Rumelt, Good Strategy/Bad Strategy: The Difference and Why It Matters, Crown Business, 2011
- Hamilton Helmer, 7 Powers: The Foundations of Business Strategy, Deep Strategy, 2016
- Mobile Banking: The Impact of M-Pesa in Kenya, Isaac Mbiti and David N. Weil, in African Successes, Volume III, NBER and University of Chicago Press, 2016
- Marty Cagan, Inspired, 2nd edition, Wiley, 2017 (product vision and strategy chapters)