Frequently asked questions

Laidoner Solutions provides practical QA support for software teams, including manual testing, exploratory testing, regression checks, smoke testing, API testing, localization QA, automation support and product quality review. The work is scoped around the product, release risk and what needs to be checked first.

Yes. A focused release check is often a good fit when a team needs an extra QA pair of eyes before shipping. The scope can cover key user flows, recent changes, risky areas, regression checks, API behaviour and clear bug reporting.

Both can be included. UI testing checks what users see and do, while API testing checks the requests, responses, errors, permissions and backend behaviour behind the product. This is useful when the interface looks correct but the data, state or backend response does not match.

Yes. If the risk is unclear, Laidoner Solutions can start with a product quality review or a short scoping call. The goal is to identify the most important flows, likely edge cases and areas where testing will give the team the most useful feedback.

Testing usually starts with the highest-risk user flows: sign-up, login, payments, forms, account actions, important API calls, recent changes and areas where mistakes would affect users or support. The exact priority depends on the product, release stage and what the team is most concerned about.

Both are possible. For stable flows, checklists or test cases help make coverage repeatable. Exploratory testing is useful when the product needs a fresh review, when edge cases are unclear, or when the team wants to find issues beyond the happy path.

Yes. Smoke checks can confirm that the most important flows still work after a change. Regression testing is useful before releases, after fixes, or when a change could affect existing behaviour.

Yes. Mobile and responsive checks can cover layout issues, broken text, form behaviour, modals, navigation, touch interaction and important flows on smaller screens. This is especially useful when the product is used across desktop and mobile browsers.

API testing can include endpoint validation, request and response checks, required fields, invalid payloads, permissions, status codes, error messages and backend state changes. It can also compare what the API returns with what the UI shows.

Localization QA checks the translated product as users see it. This can include missing strings, fallback language, text overflow, broken layouts, inconsistent terminology, wrong placeholders, date or number formatting and issues in repeated UI components.

Automation support is focused on practical value. This can include identifying what should be automated, improving repeatable checks, helping with Postman collections, supporting smoke or regression coverage and reviewing test structure. The goal is useful automation, not automation for its own sake.

Not every project needs a full automation framework. Laidoner Solutions can support automation planning and practical repeatable checks, but large long-term framework ownership is scoped carefully before starting. If a project needs a full dedicated automation team, that should be discussed honestly before work begins.

You receive clear testing feedback based on the agreed scope. This can include bug reports, screenshots, reproduction steps, notes on tested areas, release risks, API findings, localization issues and a short summary of what was checked.

A useful bug report normally includes the issue title, environment, steps to reproduce, actual result, expected result, severity or impact, and supporting evidence such as screenshots, logs or request details when relevant.

Yes. If your team already uses Jira, GitHub Issues, Linear, Trello or another workflow, findings can usually be reported there. If not, Laidoner Solutions can provide a clear report or spreadsheet-style issue list.

Yes, retesting can be included in the scope. After developers fix reported issues, the affected flows can be checked again to confirm whether the fix works and whether any related behaviour was affected.

Start time depends on current availability and the size of the request. Small focused checks may be possible to schedule quickly, while larger reviews or ongoing QA support need planning. Availability is always confirmed before work starts.

It depends on product complexity, access, number of flows, environments, API coverage and how much reporting is needed. A small release check may take a few days, while a broader product review or regression pass can take longer. After scoping, you receive a realistic estimate.

Pricing depends on the agreed scope. Focused work can be priced as a defined project, while open-ended support may be hourly or time-based with clear limits. The goal is to agree on the scope, deliverables and expected effort before work begins.

If the product has more risk than expected, or if new areas are added, the scope can be adjusted. Small clarifications are usually handled naturally, but larger changes are discussed before extra work is started.

You communicate directly with the person doing the QA work. This keeps communication clear and avoids extra account-management layers. It also makes clarification faster when something needs context.

Update frequency is agreed before the work starts. For short projects, this may be a short status note during testing and a clear report at the end. For longer work, updates can be shared regularly through chat, email or your project tool.

Yes. Laidoner Solutions is built for remote collaboration with software teams. Work can be handled through shared environments, test accounts, issue trackers, calls and written updates.

Usually the basics are product access, test accounts, a short explanation of the release or feature, known risk areas, relevant requirements or tickets, and the preferred reporting format. Better context usually leads to better testing.

Yes. If the product, data or business context is sensitive, an NDA can be signed before access is shared. Confidential information is treated as part of the project scope and not reused publicly.

Test accounts and test data are preferred whenever possible. If production-like access is needed, the access should be limited to what is required for testing. Credentials should be shared through secure channels and removed after the engagement when appropriate.

Usually no. Most QA work can be done through the product UI, API access, test environments, documentation and issue trackers. Code access is only needed if the agreed scope specifically requires it.

Laidoner Solutions can notice and report obvious security-related issues during normal QA, such as permission problems, exposed data, weak error handling or access-state issues. Full penetration testing or formal security audits should be handled by a dedicated security specialist.

The best fit is a software team that needs focused QA support before release, a second opinion on product quality, API validation, localization review, or extra testing capacity without adding a full QA department.

It may not be the right fit if you need a large full-time QA team, 24/7 testing coverage, formal security auditing, or long-term ownership of a large automation platform without a dedicated internal team. In those cases, a larger agency or in-house QA team may be more suitable.

No serious QA provider can guarantee that every bug will be found. Good testing reduces risk by checking important flows, edge cases and known risk areas, but software can still behave differently later with new data, devices, users or changes.

Laidoner Solutions focuses on QA and product quality work. It does not replace your development team, deploy production code, provide 24/7 support, or act as a formal security audit provider. The role is to test, report clearly and help your team make better release decisions.