# Your 30-Day Store Improvement Plan

Choose one customer problem, make one meaningful improvement and review what happened. Thirty days is a planning cadence, not a guarantee of higher sales or enough data for a statistically reliable test. Extend the observation period when purchase cycles, return windows or traffic require it.

## Choose a focus before choosing a tool

Write the decision in customer terms. “Help shoppers confirm whether this product fits” is more actionable than “improve the website.” Use the [store assessment](https://ecomcoach.xyz/learn/assessment/) if you are unsure where to begin.

- Customer problem: [what is hard, confusing or disappointing]
- Evidence: [funnel observation, customer question, return reason or interview]
- Affected audience and product: [specific scope]
- Desired customer outcome: [observable improvement]
- Business outcome: [contribution, qualified purchases or reduced avoidable work]
- Owner: [person responsible]
- Time and spending limit: [amounts you can commit]

## Week 1: Establish what is happening

Check that your evidence describes the same time period and population. Review the relevant journey on a phone. Complete a test purchase when appropriate, distinguish test activity in your reports, and check any tracking discrepancies before interpreting rates.

- [ ] Save the current page, workflow or process.
- [ ] Record dates, filters, metric definitions and underlying counts.
- [ ] Review a small sample of relevant customer questions.
- [ ] Identify one uncertainty the numbers cannot answer.
- [ ] Choose a primary measure and a customer-experience guardrail.

For shopping friction, use the [conversion funnel checker](https://ecomcoach.xyz/tools/funnel-checker/). For an expensive manual task, record preparation, completion, checking and correction time before trying to automate it.

## Week 2: Make a bounded change

Write a hypothesis that connects the problem with the proposed change: “If we show measured internal dimensions beside the size selector, shoppers should ask fewer compatibility questions and make fewer unsuitable purchases.” The statement is a hypothesis to investigate, not a promised outcome.

- Proposed change: [one coherent improvement]
- Why it may help: [evidence and reasoning]
- What must stay comparable: [traffic, audience, product availability or task quality]
- Review before release: [accuracy, mobile behavior, accessibility and operational effects]
- Rollback or pause condition: [a specific problem that would trigger action]
- Release date: [date]

Avoid changing the price, page, traffic source and email sequence together if you want to understand which change helped. If multiple changes are necessary, document them and limit causal claims.

## Week 3: Observe and support customers

Look for unexpected effects before declaring a winner. A higher add-to-cart rate may be unhelpful if payment failures or unsuitable purchases also rise. A faster AI draft may create more editing work for someone else.

| Review item | Baseline | Current observation | What changed besides our work? |
| --- | --- | --- | --- |
| Primary measure and denominator | [count/rate] | [count/rate] | [context] |
| Customer-experience guardrail | [count/rate] | [count/rate] | [context] |
| Contribution or total effort | [amount/time] | [amount/time] | [context] |
| Customer feedback | [themes] | [themes] | [context] |

Keep raw counts visible when samples are small. Check that enough time has passed for the outcome you care about; repeat purchasing and returns may take longer than a week to observe.

## Week 4: Make the next decision

- What we observed: [facts with counts and dates]
- What we think may explain it: [hypotheses]
- What remains uncertain: [missing evidence or competing explanations]
- Decision: [keep, revise, stop or continue observing]
- Next action, owner and review date: [details]

If the result is unclear, choose the next piece of evidence to collect. Do not keep changing the success measure until something looks positive. Record what you learned even when the change did not help.

## Where AI can help

Use AI to organize anonymized feedback, draft a change brief or summarize the review. Provide verified inputs and require source labels for numbers and claims. The owner checks the evidence and approves changes. Do exact arithmetic with a calculator or spreadsheet.

The [AI workflow planner](https://ecomcoach.xyz/tools/ai-workflow/) provides task-specific prompts and review steps. Use the [time-savings calculator](https://ecomcoach.xyz/tools/ai-time-savings/) when efficiency is the goal, including review and rework rather than measuring drafting time alone.

## Example of a complete decision

Hypothetical example: a store finds recurring size questions on one bag. The team adds measured dimensions and a verified fit photo, then monitors questions and return reasons for that model. If only a handful of orders follow, they keep the counts visible and continue observing rather than claiming a proven conversion lift.

Your first completed improvement cycle should leave you with a clearer customer experience, a record of the evidence and a better next question. Use the [resource finder](https://ecomcoach.xyz/tools/resource-finder/) when you need a guide or worksheet for that question.