Framework · 7 min read

Strategy Canvas and ERRC Grid

The Strategy Canvas and ERRC Grid is a framework from W. Chan Kim and Renée Mauborgne that charts rival offers across the factors buyers weigh, then redesigns one by eliminating, reducing, raising and creating factors.

Summarised from W. Chan Kim, Renée Mauborgne, Andrew Burke, André van Stel and Roy Thurik · View sources ↓

At a glance

Use this when
Buyers see your offer and your rivals' as interchangeable, and you need to redesign which factors you compete on.
What you will work towards
A value curve against rivals and an Eliminate-Reduce-Raise-Create plan for a sharper offer.
Bring to the reading
A specific decision from your work and the customer evidence you have so far.

What it is

The strategy canvas is a one-page chart, introduced by W. Chan Kim and Renée Mauborgne, that shows how your offer compares with its rivals across every factor the market competes on. The horizontal axis lists the factors of competition (price, implementation time, feature depth, support model and so on); the vertical axis shows the level buyers receive on each, from low to high. Joining one competitor's scores gives its value curve, and when most curves in a category run in parallel, the canvas exposes a market where everyone sells the same thing at different volumes. The Four Actions Framework then asks four questions of your curve: which factors the industry takes for granted should be eliminated, which should be reduced well below the industry standard, which should be raised well above it, and which should be created because no one offers them. The ERRC grid records the answers in four boxes, so the redesigned curve can be drawn back onto the canvas.

Kim and Mauborgne present these tools inside Blue Ocean Strategy, a wider theory of creating new market space. This entry scopes them narrowly, as a PMM's tool for diagnosing a convergent market and designing a sharper factor profile. Four neighbours in this category answer different questions. A Perceptual Map compares rivals on two buyer-chosen axes; the canvas holds eight to twelve factors at once. Bowman's Strategic Clock fixes its axes at price and perceived value. The Product Differentiation Strategy Framework decides which difference to commit to and embed; the canvas designs the whole profile of where to over- and under-deliver. Category Design names and evangelises a new category; the ERRC grid reconstructs the value factors buyers weigh, with or without a new category label.

When to use it

  • Win/loss interviews show buyers describing you and two or three rivals as interchangeable, and deals are settled on discount.
  • A roadmap review keeps adding features to match competitors, and nobody can say which existing factors buyers would accept less of.
  • You are designing an entry offer for a segment that incumbents overserve (too complex, too expensive) or ignore.
  • Leadership asks for a repositioning and you need one picture of where the current offer converges with rivals before anyone writes copy.
  • A packaging or new-tier decision needs a view of which factors to strip out, not only which to add.

Ownership

PMM typically builds the canvas: it selects the factors from win/loss, Voice of the Customer and competitive evidence, scores every curve, and drafts the ERRC grid as a recommendation. At a scaled company the decision to reshape the offer sits with the CEO, product leadership or a strategy function, because eliminating or reducing a factor commits roadmap, pricing and sometimes headcount; PMM then executes the positioning, messaging and enablement that follow. At solo or founding-PMM stage, the founding PMM commonly runs the exercise end to end, from factor list to the founder's decision meeting to launch messaging.

How to apply it

  1. Fix the scope. Choose one segment and one buying situation, then 3 to 5 rivals or strategic groups (for example "enterprise suites" and "point tools"), plus the status quo if buyers genuinely weigh it. Mixing segments flattens every curve into an average no buyer recognises.
  2. Build the factor list from buyer evidence. Pull every attribute buyers mention in win/loss interviews, VoC calls, review sites and RFPs; merge duplicates and keep the 8 to 12 that buyers actually weigh, written in their language. Then add any factor the industry competes on by habit, because rivals advertise it, and mark it: these are the first candidates to eliminate or reduce.
  3. Score every curve on one scale. Rate each factor from 1 to 5 for every curve, yours included, using the same evidence sources throughout. Where buyers rate you differently from your own team, use the buyers' rating.
  4. Read the canvas. Look for convergence (curves running in parallel), factors where everyone over-delivers relative to buyer importance, and factors buyers raise that no curve addresses. Kim and Mauborgne describe a strong curve as having focus, divergence from rivals and a compelling tagline; if you cannot summarise your current curve in one honest line, it lacks focus.
  5. Run the four actions and fill the ERRC grid. Put each factor through the four questions and require at least one entry in every box. A grid with only Raise and Create entries is a feature roadmap, not a redesign, and it raises cost without making the offer any easier to choose.
  6. Draw the new curve and test the trade. Plot the redesigned curve, check that it diverges from every rival, then test it with 6 to 10 target buyers: will they accept the reductions in exchange for the raises? A reduction buyers reject is a lost-deal reason waiting to happen.
  7. Take it to the decision owner, then translate it. Present the grid with its cost and revenue implications. Once approved, feed the new curve into positioning and packaging, and track three measures: win rate in the target segment, average discount depth, and the share of lost deals citing a reduced or eliminated factor. Re-plot every two quarters with the same sources.

Example

Quillbridge, a fictional contract-review SaaS company selling to in-house legal teams of 3 to 15 lawyers, was losing on price: 41% of its 64 closed deals over two quarters went to a final discount round, at an average discount of 23%. The PMM coded 22 win/loss interviews and 140 review-site comments into 10 factors. The canvas showed Quillbridge and two enterprise contract-management suites on almost identical curves: high on workflow configurability, clause-library size, analytics dashboards and integration count; low on time to first contract reviewed and on price. Buyers ranked time to first review and redline accuracy as their top two factors; only 3 of 22 interviewees mentioned dashboards, and 9 said configurability had forced them into a paid consultant engagement. The ERRC grid read: eliminate the custom workflow builder from the core tier (moved to an add-on); reduce dashboards to three fixed reports and integrations to the five buyers named; raise redline accuracy and onboarding speed (live in 5 days rather than 7 weeks); create a fixed-fee service that imports a team's existing negotiation playbook. The CEO and VP Product approved it, and freezing the builder released two engineers for the redline work. Seven of 8 prospects shown the new curve accepted the trade. In the two quarters after relaunch, segment win rate rose from 24% to 35%, average discount fell from 23% to 12%, and only 2 of 29 lost deals cited the missing builder, both at firms above 200 lawyers, which the PMM flagged as outside the target segment rather than a reason to rebuild it. For a published real case, Kim and Mauborgne's 2004 article describes Cirque du Soleil increasing revenue 22-fold over ten years by reinventing the circus rather than competing on the industry's existing terms.

Pitfalls

  • Building the factor list from the internal view. Teams list the factors product and sales talk about, which are usually the features the company has invested in, so the canvas shows the company competing hard on factors buyers barely weigh. Recovery: source every factor from coded buyer evidence, label any internally proposed factor as a hypothesis until buyers mention it unprompted, and drop factors no buyer raised.
  • Over-claiming "uncontested market space". A redesigned curve is a differentiated offer, not proof that competition has become irrelevant; rivals can copy a reduction or a raise within a few release cycles. The originators' evidence also deserves care: a commonly raised criticism is that it rests on retrospective cases of successful moves, so it says little about how often such moves fail, and Burke, van Stel and Thurik note that earlier empirical support relied mostly on case studies, limiting how far its conclusions generalise (their own Dutch retail data found blue ocean strategy viable over the long term, but overlapping with competitive strategy rather than forming an either/or choice). Recovery: describe the result internally as a differentiated value curve, plan the response to imitation before launch, and keep re-plotting rivals' curves.
  • Filling only Raise and Create. Adding without subtracting is the default instinct, and it produces a costlier version of the same converged curve. Recovery: refuse to present a grid that leaves Eliminate or Reduce empty, and attach each reduction to the buyer evidence showing it matters less than the factors being raised.

How the ideas connect

Choose where to go next

Make it useful

Bring it back to your work.

Name one decision this guide could help you make. Write down the evidence you need, the output you would produce, and how you would know it was useful.

Check your understanding

Practise applying Strategy Canvas and ERRC Grid in five short scenarios.

5 practical scenarios. Choose an answer, explore the reasoning, and revisit the guide whenever you need.

Sources

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