Project manager interviews check two things: that you know the tools of the job, and that you stay calm and honest when a project goes sideways. Expect a few questions on your path and your biggest project, several stories about late work, scope creep and hard stakeholders, what-would-you-do scenarios, and knowledge checks on planning, the critical path, risk, change control and simple earned value arithmetic. Each question shows what the interviewer is really listening for, a shape for your answer and a short answer you could say out loud. Replace the sample stories with your own before the day.
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Starting point: the job you did before and what pulled you towards coordinating work.
Projects so far: two or three, with size and what you owned.
Where next: the kind of project you want to run and why this role fits.
"I started as an analyst in an operations team. Every time we had a system change, I ended up being the person who kept the list of who was doing what and chased the loose ends, and I realised I enjoyed that more than the analysis itself. My manager let me run a small reporting upgrade, then a move of our support team onto a new ticketing process. Since then I've run four projects end to end, the largest with about twelve people across three teams over eight months. I owned the plan, the risks, the budget tracking and the weekly updates to the sponsor. What I want next is bigger cross-team work, where the hard part is getting several groups to land one thing together."
Listing job titles with no sense of project size, what you personally owned or how the projects ended.
What you enjoy: making many pieces fit, removing blockers, seeing the whole.
Why it matters: projects often fail on coordination rather than skill.
Staying close: how you keep enough detail to ask good questions.
"I've seen a lot of projects with talented people still land late, and it was rarely because someone couldn't do their part. It was because two teams assumed different dates, or a decision sat with nobody for three weeks. That coordination gap is the part I like fixing. I get real satisfaction from seeing the whole picture and clearing the path so specialists can do what they're good at. I don't want to lose touch with the work, though. I still read the technical designs, sit in on key reviews and ask the team to walk me through anything I don't understand, because a project manager who can't follow the work can't spot trouble early either."
Implying you want to manage because you'd rather not do the detailed work, or talking down about the people who deliver.
Size: goal, length, number of people and teams.
Your part: what you owned versus what others owned.
Outcome: how it ended, honestly, and one thing you'd repeat or change.
"The biggest was moving three regional offices onto one new finance system. It ran for about a year with around twenty people from finance, IT and an outside vendor. I owned the schedule, the budget tracking, the risk log and the monthly steering meeting, while the vendor's lead owned the configuration and our finance lead owned the process design. The first site went live one week late, because the data migration rehearsal showed more bad records than we expected. We added a second rehearsal for the other two sites, and both went live on their planned dates. If I did it again, I'd book two rehearsals from the start instead of treating the second one as a fix."
Taking credit for everything, blurring who owned what, or claiming the project had no problems at all.
Signal: the early sign you noticed and when.
Diagnosis: what was really causing the delay and whether it hit the critical path.
Recovery: the options you chose, who agreed, and the result against the original date.
"On a warehouse system rollout, integration testing was meant to take three weeks, and by the end of week one we'd closed far fewer test cases than planned. That was on the critical path, so every day there moved go-live. I sat with the test lead and found the cause: the test environment kept going down, so testers were waiting half the day. I got the infrastructure team to give us a dedicated environment, split testing into two parallel streams, and asked the sponsor to move three reports that weren't needed on day one into a second release. I told the sponsor the same week that we were at risk and what I was doing about it. We went live nine days late instead of the five weeks we were heading for."
Saying the team just worked harder or longer hours, or that you told the sponsor only once the date had already been missed.
Don't answer on the spot: understand why the earlier date matters.
Look at the schedule: the critical path is the only place a month can come from.
Give options: less scope, more people or money, or overlapping work with more risk, and let the sponsor choose.
"I wouldn't say yes or no in the room. I'd ask what's driving the earlier date, because if it's a trade show, maybe only part of the product needs to be ready. Then I'd go back to the schedule with the team. A month can only come from the critical path, so I'd look at what's on it. Usually the honest answer is that same scope, same team and a month earlier doesn't fit, so I'd come back with options. We could deliver the core features on the earlier date and the rest later. We could add people or pay for overtime on the critical tasks, if the work can actually be split. Or we could overlap some phases, which saves time but raises the risk of rework. The sponsor picks, and I write down what they chose."
Agreeing to the new date without looking at the plan, or quietly cutting testing to make it fit.
Find the cause: which work packages are overspending and why: low estimates, rework, higher rates or uncosted changes.
Forecast honestly: a new estimate of the final cost based on real performance so far, not hope.
Options to the sponsor: contingency, phasing scope, changing how the rest is done or more budget, with your recommendation.
"First I'd find where the money is going. I'd compare what each work package has cost so far with how much of it is actually finished, because an overrun usually comes from a few places: estimates that were too low, rework, higher rates than planned, or small changes nobody costed. Then I'd build an honest forecast of the final cost from how we've really been performing, not from hoping the second half goes better. I'd tell the sponsor this week rather than wait for them to spot it, and I'd bring the cause, the new forecast and options. We could use the contingency reserve if the overrun comes from a risk we'd planned for, move some scope to a later release, change how the rest of the work is done, or ask for more budget. I'd say which one I recommend, and whatever they choose goes through change control so the baseline stays honest."
Hiding the overrun and hoping to recover it in later phases, or quietly cutting testing to save money.
Definition: the longest chain of dependent tasks, which sets the shortest possible finish.
Method: list tasks, durations and dependencies, add up each path, take the longest.
Float: tasks off the path can slip by the gap without moving the end date.
"The critical path is the longest chain of dependent tasks from start to finish. Its length is the shortest time the project can take, and any delay on it delays the end date. Say task A takes three days. B takes five days and C takes two, and both need A to finish first. D takes four days and needs both B and C. There are two paths: A, B, D is three plus five plus four, twelve days. A, C, D is three plus two plus four, nine days. So the critical path is A, B, D at twelve days. C has three days of float, so it can slip three days without moving the finish. That tells me where to watch closely and where I have room."
Task Days Needs
A 3 -
B 5 A
C 2 A
D 4 B, C
A -> B -> D = 3 + 5 + 4 = 12 days (critical path)
A -> C -> D = 3 + 2 + 4 = 9 days
Float on C = 12 - 9 = 3 days
Saying the critical path is the list of most important tasks, or picking the path with the most tasks instead of the longest duration.
Crashing: add people or money to critical path tasks to shorten them; costs more.
Fast-tracking: run tasks in parallel that were planned in sequence; adds risk and rework.
Rules: only the critical path matters, and watch for a new critical path.
"Both shorten the schedule, but in different ways. Crashing means adding resources to tasks on the critical path, like extra people or paid overtime, so those tasks finish sooner. The cost is money, and it only works when the work can actually be split, since some tasks don't go faster with more people. I'd crash the tasks that give the most days back for the least extra cost first. Fast-tracking means doing tasks at the same time that were planned one after another, like starting build before design is fully signed off. That costs little money but adds risk, because if the design changes, some of the build gets redone. With both, I only touch the critical path, and I recheck after each change, because another path can become critical."
Mixing the two up, or suggesting you shorten tasks that aren't on the critical path.
Three numbers: planned value, earned value and actual cost at the same date.
Two indexes: CPI is earned over actual, SPI is earned over planned; below one is bad.
Forecast: budget at completion divided by CPI, if performance stays the same.
"Earned value compares three numbers at the same date. Say the whole project is budgeted at a thousand hours. By today, the plan said we'd have done four hundred hours of work, so planned value is four hundred. The work actually finished was budgeted at three hundred hours, so earned value is three hundred. We've actually spent three hundred and seventy-five hours. The schedule index is earned over planned: three hundred over four hundred, which is 0.75, so we're behind. The cost index is earned over actual: three hundred over three hundred and seventy-five, which is 0.8, so we're getting less work per hour than planned. If that continues, the estimate at completion is a thousand divided by 0.8, which is twelve hundred and fifty hours."
Budget at completion (BAC) = 1000 hours
Planned value (PV) = 400
Earned value (EV) = 300
Actual cost (AC) = 375
SPI = EV / PV = 300 / 400 = 0.75 (behind schedule)
CPI = EV / AC = 300 / 375 = 0.80 (over budget)
Schedule variance = EV - PV = -100
Cost variance = EV - AC = -75
Estimate at completion = BAC / CPI = 1000 / 0.8 = 1250 hours
Comparing only planned spend with actual spend, which says nothing about how much work was really finished.
How it crept: where the extra requests came from.
What you put in place: a change log, impact checks and a decision owner.
Result: what got in, what moved later, and the delivery date.
"I was running a rollout of a new customer database for a sales team. Every demo produced two or three more requests, like new fields or an extra report, and people assumed they were small. Individually they were, but together they were adding weeks. I started logging every request, estimating it with the team and taking a short list to the sales director every Friday with the impact on the date next to each item. Seeing it written down changed the conversation. She approved two changes that really mattered, and we put the rest into a phase two list she owned. We launched on the original date, and most of the phase two list was quietly dropped later because nobody missed it."
Treating every new request as creep to be blocked, or quietly absorbing changes and hoping the team catches up.
Don't blame the developer: they were put in a hard spot.
Assess the impact: time, testing, risk and what got pushed aside.
Route it and fix the path: a change request after the fact, a word with the manager, and an easy way to ask next time.
"I wouldn't start with the developer. When someone senior asks you for something, it's hard to say no. I'd find out how much time it took, what work got pushed back, and whether it needs testing or touches anything risky. Then I'd put it through change control after the fact, so it's visible and properly tested or taken out. I'd have a quiet word with the manager, not to tell them off, but to explain that side requests make our dates unreliable, which hurts them too, and to show them how quickly a request can go through the proper way. With the team, I'd agree that any request from outside the plan comes to me first, and I'll be the one who says not yet."
Blaming the developer in front of the team, or ignoring it because the requester was senior.
Log it: who asked, what, and why.
Assess impact: scope, schedule, cost, risk and quality, with the team.
Decide and update: the right person approves or rejects, then the plan and baseline change and everyone hears.
"Anyone can raise a change, but it goes into the change log with who's asking, what they want and why. Then I work out the impact with the team: effort, what it does to the schedule and whether it touches the critical path, cost, new risks, and testing. The decision goes to whoever holds that authority. We agree limits at the start, so small changes might be my call and anything that moves a milestone goes to the sponsor or a change board. If it's approved, I update the scope, the plan and the baseline, and tell everyone affected. If it's rejected, the requester hears why. Either way, it's recorded, so months later nobody argues about what was agreed."
Having no decision-maker named, or approving changes without updating the baseline, so the plan stops meaning anything.
The situation: who they were and how the pushback showed up.
The real concern: what you found was driving it.
What you changed: how you engaged them differently, and the result.
"On a website redesign, the head of marketing kept reopening designs she'd already approved, which cost us about two weeks across the first month. Instead of escalating, I asked her for a coffee and asked what was worrying her. It turned out she'd been burned before by a launch that looked nothing like the mock-ups, so she didn't trust the early sign-offs. I changed how we worked with her. We showed her real, working pages every week instead of big design reviews every month, and each sign-off was a short written note of what she'd agreed. The reopening stopped, she became one of our strongest supporters, and she presented the launch to the leadership team herself."
Describing the stakeholder as simply difficult, or going over their head before trying to understand them.
The news: what it was and when you knew.
How you delivered it: early, face to face, with the facts.
Options: what you offered and what the sponsor decided.
"Six weeks before launch of a customer app, our security review failed on how we stored login tokens. Fixing it properly meant a delay of about three weeks, and the sponsor had already announced the date to the board. I asked for thirty minutes with her the same afternoon rather than waiting for the monthly meeting. I opened with the headline, then showed what failed and why launching as it was would be a real risk to customers. I brought three options: delay three weeks and fix it properly, launch on the announced date to our own staff only while we fix it, or cut two features to win back a week. She chose the staff launch, so she could still show something on the date, and later thanked me for not letting her find out from someone else."
Waiting for the regular status meeting, or bringing a problem with no options or recommendation.
Check evidence: finished deliverables, milestones met with sign-off, open defects, dependencies.
Ask directly: one-to-one conversations with the people doing the work.
Fix the reporting: make amber safe, and report honestly upward.
"I'd stop looking at the colours and look at the evidence behind them. Which deliverables are actually finished and accepted, not just ninety percent done. Whether milestones were met with a real sign-off. How many defects are open and whether that number is climbing. Whether the teams that depend on each other agree on dates. Then I'd talk to the people doing the work one-to-one, not in a group meeting, and ask what worries them. If I find trouble, I'd change the status honestly and tell the sponsor. And I'd look at why nobody reported it. Usually people have learned that amber gets punished, so I'd make a point of thanking the first person who raises one."
Trusting the colours because everyone agrees, or reacting to bad news in a way that teaches people to hide it.
Find them: anyone who funds, approves, does the work, uses the result or is affected by it.
Map them: power and interest, plus whether they support or resist the project.
Plan the contact: what each group needs, how often, in what form and from whom, revisited each phase.
"At kick-off I list everyone who pays for the project, approves it, does the work, uses the result or has their job changed by it. Then I ask the sponsor and each team lead who I've missed, because the forgotten people are often the ones who block you later, like security, legal or the team that supports the system after go-live. Next I place them on a simple grid of power and interest. People with high power and high interest I manage closely, with regular one-to-ones. High power but low interest, I keep satisfied with short summaries. End users usually have high interest but less power, so I keep them informed with demos and updates. I also note who's likely to resist and talk to them early. All of that becomes a communication plan: who gets what, how often, in which format and from whom. I revisit it at each phase, because people's interest changes."
Naming only the sponsor and the team, or sending everyone the same report and calling that stakeholder communication.
Headline first: overall status with one honest line on why.
Core content: progress against milestones, what's next, top risks and issues.
Asks: decisions or help needed, by whom and by when.
"I keep it to one page, and the first line is the overall status with a sentence explaining why. If it's amber, I say what would make it green. Then progress against the key milestones, what's planned for the next two weeks, the top three risks and issues with their owners, and any decisions or help I need, with a name and a date against each. The asks matter most, because that's what makes a sponsor read to the end. For different audiences I change the depth, not the facts: the steering group gets the one-page view, and the team gets the detail. I send it the same day every week, and if something serious happens midweek, I don't wait for the report."
A long list of completed tasks with no status judgement, risks or asks, or a report that changes colour only when it's too late.
What happened: the project and how it fell short.
Your part: what you personally missed, without blaming others.
The change: what you now do differently, with an example.
"I ran an internal tool to replace a spreadsheet the claims team used. We delivered on time and on budget, and three months later most of the team was still using the spreadsheet. The honest cause was on me. I'd treated the team lead as the voice of every user and never watched the people doing the work day to day. The tool was slower for their most common task, so they went around it. Now I define success as people using the thing, not just delivering it, and I put two or three real users into reviews from the first month. On my next project that caught a similar problem in week three, when it was cheap to fix."
Choosing a failure that was really someone else's fault, or a fake failure like working too hard.
Read: the charter, plan, risk and issue logs, recent status and change log.
Listen: the sponsor, key stakeholders and each team member.
Reset: compare real progress with the plan, then agree any new baseline with the sponsor.
"In the first few days I'd read everything: the charter, the plan, the risk and issue logs, the last few status reports and any change requests. Then I'd meet the sponsor to hear what success means to them, and have short one-to-ones with the key stakeholders and each person on the team. I'd ask the team what's really going on, because they usually know before any report shows it. By the end of the first week I'd compare real progress with the plan. I wouldn't change how the team works straight away unless something is clearly broken. By the end of the second week I'd go back to the sponsor with my honest view, and if the plan no longer holds, a proposal for a new baseline."
Changing the plan and processes in week one before understanding them, or accepting the old status reports at face value.
Waterfall fits: clear, stable requirements, costly changes, fixed approvals.
Agile fits: uncertain requirements, fast feedback possible, an engaged product owner.
Hybrid: fixed milestones and governance outside, short iterations inside.
"I look at how well we know the requirements and how expensive change is. If the requirements are clear and stable, or change is very costly, like a data centre move or anything with regulatory approval steps, a phased waterfall plan works well. If we're not sure what users need and we can show them working pieces often, agile works better, because we learn as we go. But you need someone from the business who can make product decisions quickly. A lot of my projects end up hybrid. The organisation wants fixed milestones, a budget and a go-live date, so I plan those phases up front, and inside the build phase the team works in short iterations with regular demos. The mistake is picking one because it's fashionable."
Saying one approach is always better, or describing agile as having no plan.
Safe and honest: focus on the process, not on who got it wrong.
Specific actions: each lesson becomes a change with an owner.
Close the loop: feed it into templates and checklists, and read old lessons at kick-off.
"First, I don't leave it all to the end. I hold short reviews at each major milestone, because by closing people have forgotten the details or moved on. In the session I make it clear we're looking at how the work was set up, not who got something wrong, otherwise the useful stories never come out. I ask what went well, what didn't, and what we'd do differently, and I push for specifics. Each real lesson becomes an action with an owner, like adding a second data rehearsal to our standard plan template. Then at the kick-off of every new project, I read the lessons from similar past projects with the team. If a lesson doesn't change a template, checklist or habit, it's just a note."
Describing lessons learned as a form filled in at closure, or a session that turns into blaming individuals.
How you spotted it: the conversation or signal that raised it.
The response: what you did before it happened, and who owned it.
Outcome: what happened later and how the response paid off.
"On a billing system upgrade, I noticed in planning that only one engineer understood the old interface to our payment provider. Everything she knew was in her head. I logged it as a key-person risk with high impact, and we agreed a response with her manager. She paired with a second engineer for two afternoons a week, and they wrote a short runbook for the interface together. About two months later she had an unplanned leave of three weeks, right in the middle of testing. Because the second engineer had already worked on the interface with her, testing carried on with only a couple of days lost. Without that, we'd have stopped completely."
Describing a risk you noticed but did nothing about until it became an issue.
Facts: the reason, how firm the new date is, and whether part can come earlier.
Impact: is it on the critical path, and how much float exists.
Options and updates: re-sequence, partial delivery, alternatives or contract terms, then log it and inform the sponsor.
"First I'd get the facts from the vendor: why it's late, how confident they are in the new date, and whether any part could arrive earlier. A late vendor often gives an optimistic new date, so I'd ask what the new date depends on. Then I'd check my own schedule. If the work waiting on it has at least three weeks of float, the end date doesn't move. If it's on the critical path, the whole project moves unless I act. I'd look at re-ordering work so the team can do other tasks first, testing with a partial delivery, or finding another supplier for part of it. I'd also check the contract for what we're owed. It goes in the issue log, and the sponsor hears about it within a day, with options."
Simply accepting the new date and moving the plan, or waiting to see if the vendor catches up.
Each entry: cause and effect, probability, impact, owner, response and trigger.
Priority: probability times impact, plus how soon it could happen.
Responses: avoid, transfer, mitigate or accept, reviewed regularly.
"Each entry describes the risk clearly, ideally as a cause and an effect, like: because the vendor is new to us, the interface may arrive late, which would delay testing. Then it has a probability and an impact, usually on a simple scale of one to five, an owner who's actually responsible, the planned response, and a trigger that tells us it's starting to happen. To prioritise, I multiply probability by impact and look at the highest scores first, and I also consider timing, since a risk that could hit next week beats a bigger one six months out. The usual responses are to avoid it, transfer it, for example through a contract, mitigate it by making it less likely or less damaging, or accept it with a fallback plan. I review the top risks with owners every week."
Describing the register as a document you fill in at the start and never look at again, or risks with no owner.
Setup: who was on the team and who set their priorities.
What you did: agreed time with their managers, made work visible and easy.
Result: how delivery and relationships held up.
"On a process change project, half my team were operations staff whose real bosses were shift managers with their own targets. In the first week I met each shift manager and agreed exactly how many hours a week their person would give us, written down, so nobody was guessing. I kept tasks small and clear so they could be done between other work, and I shared a simple weekly view of who had done what. When someone did great work, I told their manager in writing, not just the person. When someone fell behind, I asked what was getting in the way before anything else. We finished on time, and two of those people asked to join my next project."
Relying on escalation or pressure as the main tool, or not involving the line managers at all.
Impact: which tasks they owned and whether those sit on the critical path.
Talk: the other project manager, and whoever sets priorities across both.
Options: part-time sharing, handover, backfill or a new date, then update the plan.
"First I'd find out exactly what they were working on and how much of it sits on the critical path, because that tells me the real cost of losing them. Then I'd talk to the other project manager to understand why, since their need might be more urgent than mine. If we can't agree, it goes to whoever sets priorities across both projects, and I'd go with facts: losing this person moves our date by four weeks, or costs us this much extra effort. The options I'd put forward are sharing them part-time, getting a proper handover to someone else, bringing in a backfill, or accepting a new date. Once a decision is made, I update the plan and tell my stakeholders the same day."
Trying to win by going straight to senior people with complaints, or quietly absorbing the loss and hoping the date holds.
The culture: open about problems, clear on who owns what, respectful of people's time.
Under pressure: absorb noise from above, keep priorities clear, protect focus.
Your behaviour: how you react to bad news and how you share credit.
"I want a team where someone can say I'm stuck or this won't make the date without worrying about it, because early bad news is the most useful thing on a project. I also want everyone clear on what they own and what matters most this week. When deadlines get tight, my job is to absorb the pressure from above rather than pass it straight down. I keep priorities to a short, clear list, cut meetings that aren't needed, and make trade-off calls quickly so people aren't waiting. If extra hours are needed, I ask rather than assume, keep it short, and I'm there too. And when the project lands, I make sure the sponsor knows exactly who did what."
Describing pressure as something you pass on to the team, or a culture where the manager hears about problems last.
The idea: scope, time and cost are linked, with quality depending on all three.
The rule: change one and at least one other has to move.
In practice: answer a request with the trade-off, not a yes or no.
"The triangle says three things are tied together on a project: scope, which is what we deliver, time, and cost. Quality sits in the middle and depends on all three. If you change one side, at least one other side has to move, or quality quietly takes the hit. So if someone wants more features, either the date moves, the cost goes up because we add people, or something else comes out. I find it really useful in change conversations. Instead of saying no, I say yes, and here's what it means: two extra weeks, or one more developer, or we drop this other feature. That makes the requester part of the decision instead of fighting with me about it."
Treating the triangle as a theory to recite, or saying you can add scope with no effect as long as the team works harder.
Start: initiating gives a charter and a named sponsor.
Plan and do: planning gives the baselined plan, executing gives the deliverables.
Control and close: monitoring runs throughout; closing gives acceptance, handover and lessons learned.
"The usual answer is five stages: initiating, planning, executing, monitoring and controlling, and closing. Strictly, those are groups of activities rather than fixed phases, and a real project's phases depend on the work, like design, build and rollout, but the five make a good map. Initiating produces a charter, which says why the project exists, what it roughly covers and who the sponsor is. Planning produces the project plan with a baseline for scope, schedule and budget. Executing is where the team produces the actual deliverables. Monitoring and controlling isn't really a separate step, it runs alongside execution the whole time, comparing progress with the baseline and handling changes. Closing produces formal acceptance, the handover to whoever runs the result, released resources and lessons learned. Knowing the output of each phase helps me see if a project skipped something, like starting to build with no signed-off charter."
Listing the phases with no idea what each produces, or treating monitoring as something that happens only at the end.
Contents: scope and deliverables, schedule and milestones, roles, budget, risks, communication and change control.
Build it with the team: break down the work, estimate with the people doing it, sequence it.
Baseline it: review with stakeholders and agree it with the sponsor.
"A plan covers what we're delivering and what's out of scope, the work broken down, a schedule with milestones, who does what, the budget, the main risks, how we'll communicate, how changes will be handled and how we'll know each deliverable is accepted. To build it, I'd start from the brief and turn the goals into deliverables. Then I'd run workshops with the team to break those down into work packages and get estimates from the people who'll actually do the work. After that I'd sequence the work, find the critical path and check the dates against the deadline. I'd review the draft with key stakeholders, fix what they catch, and then agree it with the sponsor as the baseline we measure against."
Describing the plan as just a schedule, or building it alone and handing it to the team.
What it is: a tree that breaks the total scope into smaller deliverables.
Whole scope: everything in scope appears once, and nothing outside it appears.
Stop point: a work package one owner can estimate, deliver and track.
"A work breakdown structure is a tree that splits the whole scope of the project into smaller and smaller pieces of deliverable work. The top is the final result, the next level might be major parts like design, build, data migration and training, and the bottom level is work packages. It should cover everything in scope and nothing outside it, which makes it a good check that nothing's been forgotten. I stop breaking down when a piece can be estimated with reasonable confidence, has one clear owner, and is small enough that I'd notice within a status cycle if it slipped. A common rule of thumb, often called the eight-eighty rule, is that a work package takes between eight and eighty hours of effort, so roughly a day to two weeks."
Describing it as a task list in time order, or breaking work down to hour-by-hour steps nobody can maintain.
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