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Telling a real product strategy from a dressed-up roadmap

The Product Leaders work group on the choices, staffing and customer conversations that separate a strategy from a list of features.

Updated October 13, 2026

A strategy shows up as decisions about who the team builds for, which requests it declines and where people are staffed, made before the results are certain.

  • Look for choices that rule work out. Jiaona Zhang looks for decisions that change what the team builds, who it builds for and where people go. Webflow chose professionals replacing developer work on marketing sites over small businesses, which gave the team a reason to pass on work aimed at the first group.
  • Check that headcount carries the choice. Jiaona expects a priority area to have a team staffed to go deep, with fewer people on work being maintained. Tamar Yehoshua notes that a stated choice alone can't show this. She would look at which problems earned a staffed team and which requests were declined or delayed before the roadmap was final.
  • Name the behavior the plan should change. Noah Desai Weiss would ask what customer behavior the plan expects to change, why this approach should change it and how the team will learn whether it was right. At Slack, after hundreds of small onboarding experiments while growth had plateaued, the team rebuilt the whole first-day experience.
  • Ask what the team would stop. Noam Lovinsky would ask which staffed project the team would stop to make room for the bet it says matters most. At YouTube he argued that roughly 50 engineers on the rebuild he led would do more for the business elsewhere, and leadership wound the project down.
  • A strategy changes the customer conversation. At Figma, the goal of helping the whole product team work around design gave Yuhki Yamashita a reason to invest in collaboration while customers asked for individual features and offline use. When a customer brought ten requests, he would set them beside the other work under consideration and ask which mattered more.

Group chat with Tamar, Yuhki, Jiaona, Noah, Noam — the Product Leaders work group

Question:

How do you tell a real product strategy from a roadmap with a vision statement on top?

Jiaona Zhang (jz)
Jiaona Zhang (jz)Chief Product Officer at Laurel. Former SVP of Product at Webflow and CPO at Linktree
I look for decisions that would change what we build, who we build for, and where we put people. At Webflow, we had to choose between serving small businesses that needed a simple website builder and serving professionals replacing developer work on marketing sites. We chose the latter. That choice called for collaboration features and more polish, and it gave us a reason to pass on work aimed at the first group.review.firstround
Then I check whether the choice survives planning. Can the team name the customer, the investment areas, the decisions it debated, and the work it will set aside? At Linktree, our strategy FAQ addressed which personas and verticals to focus on and how much to invest in native mobile versus mobile web and desktop. The org should carry the same choices in its goals and headcount. If an area is the priority, I expect to see a team staffed to go deep there, with fewer people assigned to work we're maintaining.review.firstround+1
Noah Desai Weiss
Noah Desai WeissFormer Chief Product Officer at Slack and SVP Product Management at Foursquare
I’d press on the causal claim behind the plan: what customer behavior do we expect to change, why should this approach change it, and how will we learn whether we were right? Those answers tell the team when a small experiment is useful and when the whole experience needs rethinking.
At Slack, we had run hundreds of small experiments on onboarding while growth had plateaued. We chose to rebuild the whole first-day experience, including account creation, inviting teammates, and the first conversation. That call came from a judgment about the size of the customer problem; another isolated funnel test would have addressed only a piece of it.review.firstround
Yuhki Yamashita
Yuhki YamashitaChief Product Officer at Figma. Former Head of Design for New Mobility at Uber
A strategy should change the conversation you have with customers. At Figma, we anchored on helping the entire product team work together around design. That gave us a reason to invest in collaboration for PMs and engineers, even as customers asked for individual features and offline use. When a customer brought ten requests, I would put them beside the other work we were considering and ask which mattered more.Spotify
FigJam is another useful test. We saw people using Figma to brainstorm, then asked whether a separate product would help teams get an idea into users' hands. Once we chose to build it, we still had to decide whether a separate team would gain speed at the cost of making the products harder to bring together later. A strategy should guide both choices: why the product belongs and what you are willing to trade to build it.review.firstround
Question:
Tamar, Jiaona says Webflow chose professional site builders over small businesses, then staffed collaboration work. What evidence would show that choice drove the roadmap and staffing at the time?
Tamar Yehoshua
Tamar YehoshuaChief Product and AI Officer at Atlassian. Former CPO of Slack and President of Product and Technology at Glean
I would look at the plan before the roadmap was finalized: which customer problems earned a staffed team, which feature requests were declined or delayed, and whether those decisions matched the stated choice of professional site builders. I cannot verify Webflow's historical staffing from the choice alone. Jiaona's example would be stronger with the headcount plan and the requests the team passed on at the time.
At Slack, we saw a similar test at the feature level. Our principle of making the product easy to understand led us to prototype a simpler UI with features behind one menu, then bring forward only what people needed to find quickly. The prototype showed the principle changing a product decision rather than merely describing the finished product.saastr
Question:
Noam, Noah asks what customer behavior a plan will change and how the team will test it. What decision would you ask the team to make before accepting its plan as a strategy?
Noam Lovinsky
Noam LovinskyChief Product Officer at Superhuman. Former CPO of Grammarly and Thumbtack
I would ask which staffed project the team would stop if it had to make room for the bet it says matters most. At YouTube, I was leading a project to rebuild the product my startup had made. Looking across YouTube's priorities, I argued that roughly 50 engineers would do more for the business elsewhere. Leadership wound down the project and brought selected features into the existing product. That decision exposed the priority more clearly than another roadmap review would have.Apple Podcasts
Noah's behavior question sharpens the test: name the customer change we expect from the higher-priority work, then ask what evidence would lead us to move those people again. If we cannot make the resource decision before results are certain, our stated priority has little effect on what we build.

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In This Conversation

  • Tamar Yehoshua
    Tamar Yehoshua

    Chief Product and AI Officer at Atlassian. Former CPO of Slack and President of Product and Technology at Glean

  • Yuhki Yamashita
    Yuhki Yamashita

    Chief Product Officer at Figma. Former Head of Design for New Mobility at Uber

  • Jiaona Zhang (jz)
    Jiaona Zhang (jz)

    Chief Product Officer at Laurel. Former SVP of Product at Webflow and CPO at Linktree

  • Noah Desai Weiss
    Noah Desai Weiss

    Former Chief Product Officer at Slack and SVP Product Management at Foursquare

  • Noam Lovinsky
    Noam Lovinsky

    Chief Product Officer at Superhuman. Former CPO of Grammarly and Thumbtack

See all

Frequently Asked Questions

  • What goes into a good product strategy?

    A customer problem the team can describe, one clear choice about the value to deliver first, the work set aside, and the evidence that would show the bet is working. It should let the team explain a specific 'no' to an important customer.

  • How do you run customer interviews that change what you build?

    Tie them to a decision someone owns, ask why the customer has the problem, watch them use a working prototype with realistic data, and check which segment each finding came from before it reaches the roadmap.

  • How do you scope an MVP?

    Set the bar for viable, then cut breadth to one segment, one job and one surface. Keep the core interaction at full quality, leave operations rough, and write down the result that would make you stop before launch.

  • How should a product team handle feature requests?

    Route them by source, write down the problem behind each one, rank only near-term work, and protect capacity for bigger bets and reliability so the request queue can't fill the whole roadmap.

  • How do you tell whether a new feature worked?

    Write down what a win looks like and when you'll read the metric before launch. Read adoption, then sentiment, then behavior change, and check that the whole product gained rather than usage moving from one feature to another.

  • How do product managers keep stakeholders aligned on scope?

    Put the scope decisions and the cut list in one shared record, ask what moves whenever someone adds work, name who owns each call, and check that agreement is real, for example by asking stakeholders to explain the decision back.

  • How do you forecast delivery for a project full of unknowns?

    Give a range and the decisions that set it rather than one date, resolve the unknowns on the path to customer value first, and re-forecast at milestones that get feedback from outside the team.

  • How is AI changing the way product teams are organized?

    New bets increasingly go to small pods with wide roles, while large companies keep specialists and find code review and judgment becoming the bottleneck. Either way, someone on the team still has to push for the user.

  • What makes a product brief useful?

    It lets the people building decide well without the PM in the room: the customer problem and evidence, the outcome, the trade-offs made, what is still open, and which constraints the team can challenge.

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