An experimentation roadmap records the order and the reasoning behind it.

We gather hypotheses from audits, previous tests and stakeholder requests, then score them on impact, evidence strength, effort and conflicts. That gives the planning meeting a clear starting order. If an idea waits, the record shows which score or constraint held it back. Your backlog has more plausible tests than available run windows, and planning needs a clear order with reasons that survive the meeting.

A ranked backlog of falsifiable hypotheses with a defensible next-three sequence and written reasons for the items outside it.

A prioritized backlog of hypothesis cards being sequenced onto a testing calendar

Some of the 500+ brands we've worked with

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  • LC Waikiki
  • Mustela
  • Yeditepe Üniversitesi
  • Güven Hastanesi
  • Tosla
  • Yatsan

The awkward part comes when several stakeholders each have a favorite. A shared rubric gives the discussion a common basis, while the conflict check keeps overlapping hypotheses out of the same window. AI can draft scores and notes from approved inputs. People decide the final sequence.

How we hold ourselves to it

  • Evidence travels with every hypothesis
  • Every candidate uses the same impact, confidence, and effort rubric
  • Shared elements or measurement dependencies keep hypotheses in separate windows
  • New evidence can change the order
  1. Collect every candidate hypothesis and its source

    Gather hypotheses from research audits, past test learnings, stakeholder requests, and support or sales feedback, and record what evidence, if any, backs each one before scoring starts.

    Hypothesis register naming each candidate and the evidence, if any, behind it.

    AI assist
    Compiles submitted hypotheses into a single register with source tags attached.
    Human gate
    The CRO strategist confirms no candidate is missing its evidence trail before scoring.
    Owners
    CRO strategist + research owner
  2. Score impact and confidence consistently

    Rate each hypothesis on estimated business impact and evidence strength using the same scale every time, so a well-supported small idea doesn't lose to a speculative big one by default.

    Impact and confidence scores applied from the same rubric to every candidate.

    AI assist
    Applies the scoring rubric to each candidate and flags inconsistent inputs.
    Human gate
    The CRO strategist and client owner approve the scored list.
    Owners
    CRO strategist + client owner
  3. Score effort and check dependencies

    Estimate build effort and flag which hypotheses share a page element, an audience segment, or a measurement dependency. Those can't run at the same time without contaminating each other's read.

    Effort estimates plus a conflict matrix flagging shared elements, audiences and measurement dependencies.

    AI assist
    Cross-references hypotheses for element, audience, or measurement overlap and flags conflicts.
    Human gate
    Engineering and the experiment owner confirm effort estimates and conflict flags.
    Owners
    Engineering + experiment owner
  4. Rank and sequence

    Combine impact, confidence, and effort into a rank order, then slot conflicting hypotheses into non-overlapping windows.

    Ranked roadmap with non-overlapping run windows for conflicting hypotheses.

    AI assist
    Drafts a proposed sequence from the approved scores and conflict map.
    Human gate
    The CRO strategist and client owner approve the sequence before it's shared.
    Owners
    CRO strategist + client owner
  5. Record the reason each item holds its position

    Write down the reasoning behind each hypothesis's position, especially the ones that didn't make the next three, so a deprioritized idea doesn't need re-litigating next quarter.

    Written reasoning for each position, including every hypothesis that did not make the next three.

    AI assist
    Drafts the reasoning notes from the scores and stated constraints.
    Human gate
    The client owner confirms the documented reasoning is fair and accurate.
    Owners
    Client owner + CRO strategist
  6. Revisit when the evidence changes

    Reopen the ranking when a new research finding, a completed test, or a business priority shift changes an input. The roadmap gets revisited on cadence and whenever a new input lands.

    Re-ranking record showing which new input moved which hypothesis, and when.

    AI assist
    Flags which ranked hypotheses are affected when new evidence is logged.
    Human gate
    The CRO strategist approves any re-ranking before it takes effect.
    Owners
    CRO strategist + research owner

The roadmap should answer a blunt planning question: why is this test next? These records keep the evidence, scores, conflicts and reasons together.

  • Hypothesis register

    Every candidate hypothesis with its source evidence attached, so nothing gets scored without a paper trail behind it.

    Accepted when

    No hypothesis enters scoring without its source evidence recorded beside it.

    Cadence: Continuously

  • Scoring and conflict matrix

    Impact, confidence, and effort scores for every hypothesis, plus flagged element, audience, or measurement overlaps between them.

    Accepted when

    Every hypothesis carries impact, confidence and effort scores from the same rubric, and every element, audience or measurement overlap is flagged.

    Cadence: Each planning cycle

  • Sequenced roadmap

    The ranked order with non-overlapping run windows built in for any hypotheses that conflict with each other.

    Accepted when

    Conflicting hypotheses hold separate run windows, and the order follows the recorded scores rather than the loudest request.

    Cadence: Set planning cadence

  • Deprioritization notes

    A written reason for every hypothesis that isn't running next, so the same debate doesn't repeat itself next quarter.

    Accepted when

    Every hypothesis that is not running next has a written reason a stakeholder can read without reopening the debate.

    Cadence: On ranking change

A useful backlog makes the next choice and its reasoning clear. Every stakeholder's favorite idea sounds reasonable in isolation. Without a shared scoring method, the roadmap becomes whoever's loudest this quarter. The same de-prioritized idea then gets re-pitched every planning cycle because nobody wrote down why it lost the last time.

A good fit when

  • Your backlog holds more evidence-backed hypotheses than the available test windows can run, so the next slot has no agreed order.
  • Several stakeholders keep nominating a different test for the next window, yet no shared impact, confidence, and effort score settles the sequence.
  • Completed tests and new audit findings keep changing the evidence, but the roadmap is not being reopened when those inputs move.
  • Two hypotheses that touch the same page element get scheduled into the same window.
  • A high-effort, unproven idea sits above a well-evidenced, low-effort one because of who proposed it.
  • Nobody can say why a hypothesis is fourth in line instead of first.
  • The same rejected idea resurfaces every quarter because nobody recorded why it was deprioritized.

Better handled as other work when

  • One clear hypothesis is ready and no backlog needs ranking, so test design can begin without a roadmap exercise.
  • Candidate ideas have no recorded evidence behind them, so a conversion research audit must build the register before anyone scores the queue.
  • Testing capacity will remain at zero, so a ranked backlog would document an order that no run window can use.

Paid Search, Paid Social, CRO, and Programmatic each run under a named owner at Zeo. The consultants below are matched to the channel this page is about, so you can see who you'd actually work with.

  • VWO

    the shared board where every candidate hypothesis gets scored and ranked before anyone launches anything

Your current test ideas and the evidence behind them form the starting queue. We'll score each one, separate conflicts and record why a hypothesis runs now or waits.
Prioritize the backlog

The scoring rubric sets the default order. The CRO strategist and client owner sign off on the final sequence. If they disagree, they review which input or score needs to change. The final order remains a human decision.