How to connect product strategy to measurable value

1. Define the problem you will focus on

Purpose: Give the team a specific improvement to investigate.

Start with the organisation’s direction, then speak to the people doing the work. Look for evidence in observation, support requests and operational data. A senior request is useful context, but it does not replace understanding the task.

In a fictional equipment-booking service, coordinators repeatedly contact other teams to confirm whether items are available. The organisation wants more reliable internal services. The product opportunity is to help coordinators make a correct booking without chasing availability manually.

Describe the affected users, the consequence of the problem and what remains uncertain. That gives discovery a purpose before anyone commits to a particular feature.

2. Make the trade-off explicit

Purpose: Explain why this opportunity deserves attention now.

Strategy requires choices within the capacity available. Compare the opportunity with other demands using the same questions: how serious is the problem, how strong is the evidence, what organisational outcome does it support, and what would it take to address?

Some work is mandatory or needed to keep a service operating safely. Make those constraints visible rather than forcing every item into a feature ranking.

3. Decide what evidence would show improvement

Purpose: Measure the user outcome as well as the delivery activity.

An output is something the team produces, such as a new availability view. An outcome is a change in what users can achieve. A benefit is the value of that change, such as less avoidable administration or fewer failed bookings.

Choose a small set of measures and record a baseline: the position before the change. Define each measure clearly enough that another person could collect it consistently.

• Outcome measure: the proportion of eligible bookings completed correctly without manual follow-up.
• Supporting measure: the typical time coordinators spend confirming availability.
• Balancing measure: incorrect bookings or additional reconciliation work placed on the inventory team.

Agree which bookings count, how missing records will be handled and when to review results. Include feedback from users who struggle, not only those who complete the task successfully.

4. Give the benefit an owner

Purpose: Connect product changes to the wider work needed for value.

The product team can improve the application, but the inventory team may own the information it relies on. A service manager may hold the operational evidence. Name an owner for checking the benefit and agree what support that person needs.

Record dependencies, such as correcting old records or changing a supplier’s update process. If those actions do not happen, releasing the feature may leave the original problem in place.

Distinguish time saved from money saved. Ten minutes released from a task may improve capacity or reduce pressure. It becomes a cash saving only where spending actually changes, and that requires separate evidence.

5. Use the review to make a decision

Purpose: Learn whether to continue, adapt, investigate or stop.

After the change, compare similar periods and consider differences in demand, staffing and task complexity. A small pilot can reveal useful patterns, but it does not prove the same result will hold everywhere.

Suppose the fictional service sees fewer manual queries, but incorrect bookings increase. The team should investigate the reliability of the availability information before expanding. A favourable headline measure cannot settle that decision alone.

Keep a short decision record: the evidence reviewed, its limits, the choice made, the owner and the next review date. This makes strategy an ongoing practice.

Use this in your next planning conversation

Purpose: Make the link between purpose, work and evidence visible.

• Organisational priority: what wider result does this support?
• Users and problem: who is affected, and what evidence is available?
• Strategic choice: what will receive attention, and what will wait?
• Expected outcome: what should users be able to do more successfully?
• Measures and baseline: how will improvement and unwanted effects be assessed?
• Benefit owner and dependencies: who checks value, and whose work is needed?
• Review decision: when will you decide whether to continue, adapt or stop?

Complete the note for one current initiative. Where you find an unsupported assumption, turn it into a question for discovery rather than an invented target.