Most user friendly softwares are highly expensive and work like a black box. If you don't be scared of using R you should take a look at the Bioconductor 'RNA-seq workflow at the gene level' linked below. The software and packages are free and the workflow explains all important steps one by one. You wil need a couple days to familiarize yourselves with the commands, but the result is still worth it.
http://www.bioconductor.org/help/workflows/rnaseqGene/
Don't use CLC, it costs far too much......if you really don't want to try R and the many well-documented bioconductor packages then you could try using Geneious, it is much cheaper than CLC and uses published methods (Bowtie, Velvet, TopHat) in its pipeline.
http://www.geneious.com/
Tim is absolutely right.
I also would suggest the Bioconductor rnaseqGene workflow (RNAStar is a very nice and fast aligner for transcriptome data) or, as an alternative (if you lack the RAM), the tuxedo protocol with bowtie ( http://www.nature.com/nprot/journal/v7/n3/full/nprot.2012.016.html ).
These tools are accepted by the community, freely available and there is lot of support online. Once you get used to the command line you will see that it is indeed the most user-friendly 'one-stop' software (if there is such a thing in transcriptome analysis). R itself is a very powerful tool and will produce publication ready graphs with just a few simple commands.
The biggest advantage would be, that anyone, even people who can't or refuse to use commercial tools will be able to reproduce your data from the raw reads after you published your results.
I don't think anyone mentioned http://usegalaxy.org This website allows you to upload raw sequence data, and build a full RNA-Seq analysis workflow using well-validated open components.
You could follow the Nature Protocols workflow that Florian identified using Galaxy.
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